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621 lines
23 KiB
621 lines
23 KiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"import sys\n",
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"sys.path.append('../../Scripts')\n",
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"from preprocess_daily import DailyPreprocessor\n",
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"from generate_signals import SignalGenerator"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"비보호좌회전, 신호우회전, 유턴\n",
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"\n",
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"줄임말 목록\n",
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"- `i` : 교차로번호, `inter_no`\n",
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"- `f` : 진입, from, `inc_edge_id`\n",
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"- `t` : 진출, to, `out_edge_id`\n",
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"- `vec` : 방향벡터, unit vector (`np.array([0.6, 0.8])`)\n",
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"- `dire` : 방위, direction (동, 서, 남, 북, 북동, 북서, 남동, 남서)\n",
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"- `rvec` : 정방향 방향벡터, unit vector to the right direction (`np.array([0,1])`)\n",
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"\n",
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"필요한 객체들 목록\n",
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"\n",
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"- `inter2dire2rvec` : `inter_no` $\\mapsto$ `dire2rvec`\n",
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" - `dire2rvec` : `dire` $\\mapsto$ `rvec`\n",
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"- `inter2incs` : `inter_no` $\\mapsto$ `inc_edge_ids`\n",
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"- `inter2outs` : `inter_no` $\\mapsto$ `out_edge_ids`\n",
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"- `inter2inc2dire` : `inter_no` $\\mapsto$ `int2dire`\n",
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" - `inc2dire` : `out_edge_id` $\\mapsto$ `dire`\n",
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"- `inter2out2dire` : `inter_no` $\\mapsto$ `out2dire`\n",
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" - `out2dire` : `inc_edge_id` $\\mapsto$ `dire`\n",
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"- `inter2inc2vec` : `inter_no` $\\mapsto$ `int2vec`\n",
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" - `inc2vec` : `out_edge_id` $\\mapsto$ `vec`\n",
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"- `inter2out2vec` : `inter_no` $\\mapsto$ `out2vec`\n",
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" - `out2vec` : `inc_edge_id` $\\mapsto$ `vec`\n",
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"\n",
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"좌회전 판단\n",
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"\n",
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"Given `inter_no`, `inc_edge_id` and `out_edge_id`, we have `inc_vec = inter2inc2vec[inter_no][inc_edge_id]` and `out_vec = inter2out2vec[inter_no][out_edge_id]`.\n",
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"Rotate `inc_vec` by 90, 180 and 270 degrees clockwise, to define \n",
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"`out_vec_left`, `out_vec_straight` and `out_vec_right`.\n",
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"Define `out_vecs={'right':out_vec_left, 'straight':out_vec_straight, 'right':out_vec_right}`.\n",
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"Select the key that maximize the similarity of the corresponding value of the key and `inc_vec`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"1. 데이터를 로드합니다.\n",
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"1-1. 네트워크가 로드되었습니다.\n",
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"1-2. 테이블들이 로드되었습니다.\n",
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"1-3. 네트워크의 모든 clean state requirement들을 체크했습니다.\n",
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"1-4. 테이블들의 무결성 검사를 완료했습니다.\n",
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"1-5. 주요 객체 (리스트, 딕셔너리)들을 저장했습니다.\n"
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]
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},
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>parent_id</th>\n",
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" <th>child_id</th>\n",
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" <th>adj_from_edge_id</th>\n",
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" <th>adj_to_edge_id</th>\n",
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" <th>from_edge_id</th>\n",
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" <th>to_edge_id</th>\n",
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" <th>condition</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>i0</td>\n",
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" <td>u00</td>\n",
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" <td>-571500487_01</td>\n",
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" <td>571500487_01</td>\n",
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" <td>571500487_02</td>\n",
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" <td>571500487_01.32</td>\n",
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" <td>좌회전시</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>i2</td>\n",
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" <td>u20</td>\n",
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" <td>571542811_02</td>\n",
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" <td>571542811_01</td>\n",
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" <td>571542810_01.51</td>\n",
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" <td>571542810_02</td>\n",
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" <td>보행신호시</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>i3</td>\n",
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" <td>u30</td>\n",
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" <td>571556450_02</td>\n",
|
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" <td>571556450_01</td>\n",
|
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" <td>571556452_01</td>\n",
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" <td>571556452_02</td>\n",
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" <td>보행신호시</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>i3</td>\n",
|
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" <td>u31</td>\n",
|
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" <td>-571500475_01</td>\n",
|
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" <td>571500475_01</td>\n",
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" <td>571500475_02</td>\n",
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" <td>571500475_01.26</td>\n",
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" <td>보행신호시</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>i3</td>\n",
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" <td>u32</td>\n",
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" <td>571540303_02.21</td>\n",
|
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" <td>571540303_01</td>\n",
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" <td>571540303_02</td>\n",
|
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" <td>-571540303_02</td>\n",
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" <td>보행신호시</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>i6</td>\n",
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" <td>u60</td>\n",
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" <td>571500535_02.18</td>\n",
|
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" <td>571500535_01</td>\n",
|
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" <td>571500535_02</td>\n",
|
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" <td>-571500535_02</td>\n",
|
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" <td>좌회전시</td>\n",
|
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" </tr>\n",
|
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" parent_id child_id adj_from_edge_id adj_to_edge_id from_edge_id \\\n",
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"0 i0 u00 -571500487_01 571500487_01 571500487_02 \n",
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"1 i2 u20 571542811_02 571542811_01 571542810_01.51 \n",
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"2 i3 u30 571556450_02 571556450_01 571556452_01 \n",
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"3 i3 u31 -571500475_01 571500475_01 571500475_02 \n",
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"4 i3 u32 571540303_02.21 571540303_01 571540303_02 \n",
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"5 i6 u60 571500535_02.18 571500535_01 571500535_02 \n",
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"\n",
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" to_edge_id condition \n",
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"0 571500487_01.32 좌회전시 \n",
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"1 571542810_02 보행신호시 \n",
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"2 571556452_02 보행신호시 \n",
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"3 571500475_01.26 보행신호시 \n",
|
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"4 -571540303_02 보행신호시 \n",
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"5 -571500535_02 좌회전시 "
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"self = DailyPreprocessor()\n",
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"self.load_data()\n",
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"self.make_match1()\n",
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"self.make_match2()\n",
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"self.make_match3()\n",
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"self.make_match4()\n",
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"self.make_match5()\n",
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"self.u_turn = pd.merge(self.u_turn, self.u_condition, on='child_id')\n",
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"display(self.u_turn)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
|
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" <th>parent_id</th>\n",
|
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" <th>child_id</th>\n",
|
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" <th>adj_from_edge_id</th>\n",
|
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" <th>adj_to_edge_id</th>\n",
|
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" <th>from_edge_id</th>\n",
|
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" <th>to_edge_id</th>\n",
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" <th>condition</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>i0</td>\n",
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" <td>u00</td>\n",
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" <td>-571500487_01</td>\n",
|
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" <td>571500487_01</td>\n",
|
|
" <td>571500487_02</td>\n",
|
|
" <td>571500487_01.32</td>\n",
|
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" <td>좌회전시</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
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" <th>1</th>\n",
|
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" <td>i2</td>\n",
|
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" <td>u20</td>\n",
|
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" <td>571542811_02</td>\n",
|
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" <td>571542811_01</td>\n",
|
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" <td>571542810_01.51</td>\n",
|
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" <td>571542810_02</td>\n",
|
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" <td>보행신호시</td>\n",
|
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>i3</td>\n",
|
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" <td>u30</td>\n",
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" <td>571556450_02</td>\n",
|
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" <td>571556450_01</td>\n",
|
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" <td>571556452_01</td>\n",
|
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" <td>571556452_02</td>\n",
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" <td>보행신호시</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>i3</td>\n",
|
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" <td>u31</td>\n",
|
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" <td>-571500475_01</td>\n",
|
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" <td>571500475_01</td>\n",
|
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" <td>571500475_02</td>\n",
|
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" <td>571500475_01.26</td>\n",
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" <td>보행신호시</td>\n",
|
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>i3</td>\n",
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" <td>u32</td>\n",
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" <td>571540303_02.21</td>\n",
|
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" <td>571540303_01</td>\n",
|
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" <td>571540303_02</td>\n",
|
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" <td>-571540303_02</td>\n",
|
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" <td>보행신호시</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>i6</td>\n",
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" <td>u60</td>\n",
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" <td>571500535_02.18</td>\n",
|
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" <td>571500535_01</td>\n",
|
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" <td>571500535_02</td>\n",
|
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" <td>-571500535_02</td>\n",
|
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" <td>좌회전시</td>\n",
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" </tr>\n",
|
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" parent_id child_id adj_from_edge_id adj_to_edge_id from_edge_id \\\n",
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"0 i0 u00 -571500487_01 571500487_01 571500487_02 \n",
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"1 i2 u20 571542811_02 571542811_01 571542810_01.51 \n",
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"2 i3 u30 571556450_02 571556450_01 571556452_01 \n",
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"3 i3 u31 -571500475_01 571500475_01 571500475_02 \n",
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"4 i3 u32 571540303_02.21 571540303_01 571540303_02 \n",
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"5 i6 u60 571500535_02.18 571500535_01 571500535_02 \n",
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"\n",
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" to_edge_id condition \n",
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"0 571500487_01.32 좌회전시 \n",
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"1 571542810_02 보행신호시 \n",
|
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"2 571556452_02 보행신호시 \n",
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"3 571500475_01.26 보행신호시 \n",
|
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"4 -571540303_02 보행신호시 \n",
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"5 -571500535_02 좌회전시 "
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"self.u_turn"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
|
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"# p2inc_edge2angle : node_id to inc_edge2angle\n",
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"p2inc_edge2angle = dict()\n",
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"# p2out_edge2angle : node_id to out_edge2angle\n",
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"p2out_edge2angle = dict()\n",
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"# p2inc_angle2edge : node_id to inc_angle2edge\n",
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"p2inc_angle2edge = dict()\n",
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"# p2out_angle2edge : node_id to out_angle2edge\n",
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"p2out_angle2edge = dict()\n",
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"for node_id in self.parent_ids:\n",
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" m5 = self.match5[self.match5.node_id==node_id]\n",
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" m5 = m5.dropna(subset=['inc_edge_id', 'out_edge_id'])\n",
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" # inc_edge2angle : inc_edge_id to inc_angle\n",
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" inc_edge2angle = dict(zip(m5.inc_edge_id, m5.inc_angle.astype(int)))\n",
|
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" p2inc_edge2angle[node_id] = inc_edge2angle\n",
|
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" # out_edge2angle : out_edge_id to out_angle\n",
|
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" out_edge2angle = dict(zip(m5.out_edge_id, m5.out_angle.astype(int)))\n",
|
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" p2out_edge2angle[node_id] = out_edge2angle\n",
|
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" # inc_angle2edge : inc_angle to inc_edge_id\n",
|
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" inc_angle2edge = dict(zip(m5.inc_angle.astype(int), m5.inc_edge_id))\n",
|
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" p2inc_angle2edge[node_id] = inc_angle2edge\n",
|
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" # out_angle2edge : out_angle to out_edge_id\n",
|
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" out_angle2edge = dict(zip(m5.out_angle.astype(int), m5.out_edge_id))\n",
|
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" p2out_angle2edge[node_id] = out_angle2edge"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 111,
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"metadata": {},
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"outputs": [],
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"source": [
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"cmatches = []\n",
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"for row in self.u_turn.itertuples():\n",
|
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" parent_id = row.parent_id\n",
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" child_id = row.child_id\n",
|
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" condition = row.condition\n",
|
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" inc_edge_id = row.from_edge_id\n",
|
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" out_edge_id = row.to_edge_id\n",
|
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" adj_inc_edge_id = row.adj_from_edge_id\n",
|
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" adj_out_edge_id = row.adj_to_edge_id\n",
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"\n",
|
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" # match5에서 부모노드id에 해당하는 행들을 가져옴 (cmatch)\n",
|
|
" cmatch = self.match5.copy()[self.match5.node_id==parent_id] # match dataframe for a child node\n",
|
|
" cmatch = cmatch.sort_values(by=['phase_no', 'ring_type']).reset_index(drop=True)\n",
|
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" cmatch['node_id'] = child_id\n",
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"\n",
|
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" # 진입엣지 각도\n",
|
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" inc_angle = p2inc_edge2angle[parent_id][adj_inc_edge_id]\n",
|
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"\n",
|
|
" # 이격각도\n",
|
|
" self.angle_separation = 10\n",
|
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"\n",
|
|
" # 진입로 각도 목록\n",
|
|
" inc_angles = cmatch.dropna(subset=['inc_angle', 'out_angle']).inc_angle.astype(int).unique()\n",
|
|
" inc_angles = np.sort(inc_angles)\n",
|
|
" inc_angles = list(inc_angles - 360) + list(inc_angles) + list(inc_angles + 360)\n",
|
|
" inc_angles = np.array(inc_angles)\n",
|
|
"\n",
|
|
" # 보행신호시의 진입로 각도\n",
|
|
" inc_angles_left = inc_angles[inc_angles >= inc_angle + self.angle_separation]\n",
|
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" inc_angle_pedes = np.sort(inc_angles_left)[0] % 360\n",
|
|
"\n",
|
|
" # 보행신호시의 진입로 엣지id\n",
|
|
" inc_angle2edge = p2inc_angle2edge[parent_id]\n",
|
|
" inc_edge_id_pedes = inc_angle2edge[inc_angle_pedes]\n",
|
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"\n",
|
|
" # 진출로 각도 목록\n",
|
|
" out_angles = cmatch.dropna(subset=['inc_angle', 'out_angle']).out_angle.astype(int).unique()\n",
|
|
" out_angles = np.sort(out_angles)\n",
|
|
" out_angles = list(out_angles - 360) + list(out_angles) + list(out_angles + 360)\n",
|
|
" out_angles = np.array(out_angles)\n",
|
|
"\n",
|
|
" # 보행신호시의 진입로 각도\n",
|
|
" out_angles_right = out_angles[out_angles <= inc_angle - self.angle_separation]\n",
|
|
" out_angle_pedes = np.sort(out_angles_right)[-1] % 360\n",
|
|
"\n",
|
|
" # 보행신호시의 진입로 엣지id\n",
|
|
" out_angle2edge = p2out_angle2edge[parent_id]\n",
|
|
" out_edge_id_pedes = out_angle2edge[out_angle_pedes]\n",
|
|
"\n",
|
|
" # 진입엣지/진출엣지 포함 조건\n",
|
|
" inc_true = (cmatch.inc_edge_id==adj_inc_edge_id)\n",
|
|
" out_true = (cmatch.out_edge_id==adj_out_edge_id)\n",
|
|
"\n",
|
|
" # 보행신호시 조건\n",
|
|
" pedes_flag = (cmatch.inc_edge_id==inc_edge_id_pedes) & (cmatch.out_edge_id==out_edge_id_pedes)\n",
|
|
"\n",
|
|
" # 좌회전시 조건\n",
|
|
" right_flag = inc_true & (cmatch.turn_type=='left')\n",
|
|
"\n",
|
|
" # 보행신호이동류(17) 조건\n",
|
|
" crosswalk_on = (cmatch.move_no==17) & ~ out_true\n",
|
|
"\n",
|
|
" # 신호없음이동류(18) 조건\n",
|
|
" all_redsigns = (cmatch.move_no==18) & ~ out_true\n",
|
|
"\n",
|
|
" # 보행신호시/좌회전시 진입/진출 엣지id 배정\n",
|
|
" cmatch[['inc_edge_id', 'out_edge_id']] = np.nan\n",
|
|
" if condition == \"보행신호시\":\n",
|
|
" cmatch.loc[pedes_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
|
|
" elif condition == \"좌회전시\":\n",
|
|
" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
|
|
"\n",
|
|
" uturn_not_assigned = cmatch[['inc_edge_id','out_edge_id']].isna().any(axis=1).all()\n",
|
|
"\n",
|
|
" if uturn_not_assigned:\n",
|
|
" # 보행신호시\n",
|
|
" if pedes_flag.any():\n",
|
|
" cmatch.loc[pedes_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
|
|
" # 좌회전시\n",
|
|
" elif right_flag.any():\n",
|
|
" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
|
|
" # 보행신호이동류(17) 발생시\n",
|
|
" elif crosswalk_on.any():\n",
|
|
" cmatch.loc[crosswalk_on, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
|
|
" # 신호없음이동류(18) 발생시\n",
|
|
" elif all_redsigns.any():\n",
|
|
" cmatch.loc[all_redsigns, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
|
|
" # 진출엣지 미포함시\n",
|
|
" elif out_true.any():\n",
|
|
" cmatch.loc[~ out_true, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
|
|
" cmatches.append(cmatch)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 112,
|
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"metadata": {},
|
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"outputs": [
|
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{
|
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"data": {
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"text/html": [
|
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"<div>\n",
|
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"<style scoped>\n",
|
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" .dataframe tbody tr th:only-of-type {\n",
|
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" vertical-align: middle;\n",
|
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
|
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
|
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" text-align: right;\n",
|
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" }\n",
|
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"</style>\n",
|
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"<table border=\"1\" class=\"dataframe\">\n",
|
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" <thead>\n",
|
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" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>parent_id</th>\n",
|
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" <th>child_id</th>\n",
|
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" <th>adj_from_edge_id</th>\n",
|
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" <th>adj_to_edge_id</th>\n",
|
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" <th>from_edge_id</th>\n",
|
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" <th>to_edge_id</th>\n",
|
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" <th>condition</th>\n",
|
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" </tr>\n",
|
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" </thead>\n",
|
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" <tbody>\n",
|
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" <tr>\n",
|
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" <th>0</th>\n",
|
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" <td>i0</td>\n",
|
|
" <td>u00</td>\n",
|
|
" <td>-571500487_01</td>\n",
|
|
" <td>571500487_01</td>\n",
|
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" <td>571500487_02</td>\n",
|
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" <td>571500487_01.32</td>\n",
|
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" <td>좌회전시</td>\n",
|
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" </tr>\n",
|
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" <tr>\n",
|
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" <th>1</th>\n",
|
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" <td>i2</td>\n",
|
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" <td>u20</td>\n",
|
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" <td>571542811_02</td>\n",
|
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" <td>571542811_01</td>\n",
|
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" <td>571542810_01.51</td>\n",
|
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" <td>571542810_02</td>\n",
|
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" <td>보행신호시</td>\n",
|
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" </tr>\n",
|
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" <tr>\n",
|
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" <th>2</th>\n",
|
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" <td>i3</td>\n",
|
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" <td>u30</td>\n",
|
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" <td>571556450_02</td>\n",
|
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" <td>571556450_01</td>\n",
|
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" <td>571556452_01</td>\n",
|
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" <td>571556452_02</td>\n",
|
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" <td>보행신호시</td>\n",
|
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" </tr>\n",
|
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" <tr>\n",
|
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" <th>3</th>\n",
|
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" <td>i3</td>\n",
|
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" <td>u31</td>\n",
|
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" <td>-571500475_01</td>\n",
|
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" <td>571500475_01</td>\n",
|
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" <td>571500475_02</td>\n",
|
|
" <td>571500475_01.26</td>\n",
|
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" <td>보행신호시</td>\n",
|
|
" </tr>\n",
|
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" <tr>\n",
|
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" <th>4</th>\n",
|
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" <td>i3</td>\n",
|
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" <td>u32</td>\n",
|
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" <td>571540303_02.21</td>\n",
|
|
" <td>571540303_01</td>\n",
|
|
" <td>571540303_02</td>\n",
|
|
" <td>-571540303_02</td>\n",
|
|
" <td>보행신호시</td>\n",
|
|
" </tr>\n",
|
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" <tr>\n",
|
|
" <th>5</th>\n",
|
|
" <td>i6</td>\n",
|
|
" <td>u60</td>\n",
|
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" <td>571500535_02.18</td>\n",
|
|
" <td>571500535_01</td>\n",
|
|
" <td>571500535_02</td>\n",
|
|
" <td>-571500535_02</td>\n",
|
|
" <td>좌회전시</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
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"text/plain": [
|
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" parent_id child_id adj_from_edge_id adj_to_edge_id from_edge_id \\\n",
|
|
"0 i0 u00 -571500487_01 571500487_01 571500487_02 \n",
|
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"1 i2 u20 571542811_02 571542811_01 571542810_01.51 \n",
|
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"2 i3 u30 571556450_02 571556450_01 571556452_01 \n",
|
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"3 i3 u31 -571500475_01 571500475_01 571500475_02 \n",
|
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"4 i3 u32 571540303_02.21 571540303_01 571540303_02 \n",
|
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"5 i6 u60 571500535_02.18 571500535_01 571500535_02 \n",
|
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"\n",
|
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" to_edge_id condition \n",
|
|
"0 571500487_01.32 좌회전시 \n",
|
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"1 571542810_02 보행신호시 \n",
|
|
"2 571556452_02 보행신호시 \n",
|
|
"3 571500475_01.26 보행신호시 \n",
|
|
"4 -571540303_02 보행신호시 \n",
|
|
"5 -571500535_02 좌회전시 "
|
|
]
|
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},
|
|
"execution_count": 112,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"self.u_turn"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"'''Given `inter_no`, `inc_edge_id` and `out_edge_id`, we have `inc_vec = inter2inc2vec[inter_no][inc_edge_id]` and `out_vec = inter2out2vec[inter_no][out_edge_id]`.\n",
|
|
"Rotate `inc_vec` by 90, 180 and 270 degrees clockwise, to define \n",
|
|
"`out_vec_left`, `out_vec_straight` and `out_vec_right`.\n",
|
|
"Define `out_vecs={'right':out_vec_left, 'straight':out_vec_straight, 'right':out_vec_right}`.\n",
|
|
"Select the key that maximize the similarity of the corresponding value of the key and `inc_vec`.'''"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
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|
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|
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},
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}
|