Technical Papers
Nov 30, 2020

Traffic Flow Estimation Based on Toll Ticket Data Considering Multitype Vehicle Impact

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 2

Abstract

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.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions.
The toll ticket data of Shandong Province used for the case study is confidential data, so the data can only be provided after anonymization.

Acknowledgments

This research was supported by the Fundamental Research Funds for the Central Universities (2020YJS091), the National Natural Science Foundation of China (71801012) and the National Research Program for Key Issues in Air Pollution Control of China (DQGG0207-03).

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Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 147Issue 2February 2021

History

Received: Jul 7, 2020
Accepted: Sep 22, 2020
Published online: Nov 30, 2020
Published in print: Feb 1, 2021
Discussion open until: Apr 30, 2021

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Authors

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Professor, Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing 100044, China. ORCID: https://orcid.org/0000-0001-7906-4362. Email: [email protected]
Graduate Student, Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing 100044, China. ORCID: https://orcid.org/0000-0002-7994-1174. Email: [email protected]
Yang Yang, Ph.D. [email protected]
Assistant Professor, Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing 100044, China (corresponding author). Email: [email protected]
Long Pan, Ph.D. [email protected]
Postdoctoral Researcher, College of Metropolitan Transportation, Beijing Univ. of Technology, Beijing 100124, China. Email: [email protected]
Yuanyuan Song [email protected]
Assistant Researcher, Transportation Planning Research Institute, Ministry of Transport, Beijing Chaoyang District, Beijing 100028, China. Email: [email protected]

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