交通运输系统工程与信息
交通運輸繫統工程與信息
교통운수계통공정여신식
JOURNAL OF COMMUNICATION AND TRANSPORTATION SYSTEMS ENGINEERING AND INFORMATION
2015年
1期
81-86
,共6页
杨扬%姚恩建%潘龙%赵楠
楊颺%姚恩建%潘龍%趙楠
양양%요은건%반룡%조남
交通工程%路径选择行为%PSL模型%出租车%GPS数据
交通工程%路徑選擇行為%PSL模型%齣租車%GPS數據
교통공정%로경선택행위%PSL모형%출조차%GPS수거
traffic engineering%route choice behavior%path-size Logit model%taxi%global positioning system data
出租车路径选择行为研究对于剖析城市交通流时空分布规律及交通流分配具有重要意义。基于北京市出租车调度系统采集的GPS(Global Positioning System)数据,本文首先通过旅程数据提取、地图匹配及双向扫除算法,构建车辆路径选择行为分析所需的RP(Revealed Preference)数据。其次,在综合考虑道路网络条件和交通条件对驾驶员路径选择行为影响的基础上,构建基于PSL(Path-Size Logit)模型的出租车多路径概率选择模型。案例分析结果表明,出租车驾驶员更倾向于选择旅行时间短、转向次数少、主干路和次干路比例较高的路径。同时,文中所提出的路径选择行为建模方法,对于提高GPS数据的使用价值具有积极的意义。
齣租車路徑選擇行為研究對于剖析城市交通流時空分佈規律及交通流分配具有重要意義。基于北京市齣租車調度繫統採集的GPS(Global Positioning System)數據,本文首先通過旅程數據提取、地圖匹配及雙嚮掃除算法,構建車輛路徑選擇行為分析所需的RP(Revealed Preference)數據。其次,在綜閤攷慮道路網絡條件和交通條件對駕駛員路徑選擇行為影響的基礎上,構建基于PSL(Path-Size Logit)模型的齣租車多路徑概率選擇模型。案例分析結果錶明,齣租車駕駛員更傾嚮于選擇旅行時間短、轉嚮次數少、主榦路和次榦路比例較高的路徑。同時,文中所提齣的路徑選擇行為建模方法,對于提高GPS數據的使用價值具有積極的意義。
출조차로경선택행위연구대우부석성시교통류시공분포규률급교통류분배구유중요의의。기우북경시출조차조도계통채집적GPS(Global Positioning System)수거,본문수선통과려정수거제취、지도필배급쌍향소제산법,구건차량로경선택행위분석소수적RP(Revealed Preference)수거。기차,재종합고필도로망락조건화교통조건대가사원로경선택행위영향적기출상,구건기우PSL(Path-Size Logit)모형적출조차다로경개솔선택모형。안례분석결과표명,출조차가사원경경향우선택여행시간단、전향차수소、주간로화차간로비례교고적로경。동시,문중소제출적로경선택행위건모방법,대우제고GPS수거적사용개치구유적겁적의의。
Taxi route choice behavior analysis is of great significance to study urban traffic flow’s spatio-temporal distribution and assignment. First, based on the GPS data collected from taxi dispatch system, RP data for taxi route choice behavior analysis are obtained by using trip-identification method, map matching and double-sweep algorithm. Second, by considering the comprehensive impacts of road network condition and traffic status on taxi drivers’route choice behavior, a PSL model based vehicle route choice model is developed. Finally, the results of case study show that taxi drivers incline to choose the route with less travel time, lower frequency of the left turns and right turns, and higher total ratio of arterial road and sub-arterial road. Meanwhile, the modeling approach of route choice behavior is of positive significance to improve the use value of GPS data.