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原文传递 Traffic Flow Estimation Based on Toll Ticket Data Considering Multitype Vehicle Impact
题名: Traffic Flow Estimation Based on Toll Ticket Data Considering Multitype Vehicle Impact
正文语种: eng
作者: Yao, Enjian;Wang, Xiaowen;Yang, Yang;Pan, Long;Song, Yuanyuan
作者单位: Beijing Jiaotong Univ Key Lab Transport Ind Big Data Applicat Technol C Sch Traff & Transportat Beijing 100044 Peoples R China;Beijing Jiaotong Univ Key Lab Transport Ind Big Data Applicat Technol C Sch Traff & Transportat Beijing 100044 Peoples R China;Beijing Jiaotong Univ Key Lab Transport Ind Big Data Applicat Technol C Sch Traff & Transportat Beijing 100044 Peoples R China;Beijing Univ Technol Coll Metropolitan Transportat Beijing 100124 Peoples R China;Minist Transport Transportat Planning Res Inst Beijing 100028 Peoples R China
关键词: Expressway toll system;Multi-type vehicles;Route choice model;Dynamic traffic assignment;Traffic flow estimation
摘要: Traffic flow estimation (TFE) plays an important role in transportation systems, especially in relation to the detection, planning, and management of traffic for expressway systems. However, traditional approaches to TFE using roadside detectors usually have low-coverage and high-cost problems. This paper proposes a toll ticket data (TTD)-based approach to TFE for filling the gaps in existing approaches and also considers multitype vehicles' impact on traffic flow for more accurate TFE results. First, route choice models are constructed to capture travel characteristics of mult-type vehicles and acquire route traffic flow from TTD. Then, a simulation-based dynamic traffic assignment (DTA) algorithm is developed to obtain traffic flow regarding vehicle type, time, and location, with the consideration of multitype vehicles' impact by using a tollbooth conversion factor (TCF) and point-of-queue model (PQM). The proposed approach is evaluated empirically using data relating to the Shandong Expressway Toll System in China. The results confirm that it performs effectively. This research could contribute to future TFE and provide references for dynamic, delicate traffic management in an economical and reliable way.
出版年: 2021
期刊名称: Journal of Transportation Engineering
卷: 147
期: 2
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