Utility Analysis of Driving Behavior Parameters in Microscopic Traffic Simulation Based on PTV-Vissim Platform
Traffic simulation technology provides an important method for road traffic research. The calibration of microscopic traffic simulation model parameters is a prerequisite for simulation applications. The utility of driving behavior in microscopic traffic simulation is a basement for the calibration work. In this paper, the utility of car-following and lane-changing behavior parameters are analyzed through traffic simulation experiment. A series of simulation experiments with a two-lane bottleneck scene were conducted on PTV-Vissim platform. And based on Pearson correlation coefficient, the relationship of typical traffic flow characteristic and 20 driving behavior parameters were found out. The result shows that six of the parameters have significance influence on the traffic flow, and the authors explain principle of these phenomena based on traffic perspective. This work will contribute to the calibration of microscopic traffic simulation.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784485040
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Supplemental Notes:
- © 2023 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Zhao, Kaiwen
- Zhou, Chenjing
- Song, Xiafei
- Dong, Zihang
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Conference:
- 23rd COTA International Conference of Transportation Professionals
- Location: Beijing , China
- Date: 2023-7-14 to 2023-7-17
- Publication Date: 2023
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 758-768
- Monograph Title: CICTP 2023: Emerging Data-Driven Sustainable Technological Innovation in Transportation
Subject/Index Terms
- TRT Terms: Bottlenecks; Calibration; Car following; Lane changing; Microscopic traffic flow; Traffic simulation
- Identifier Terms: PTV Visum; VISSIM (Computer model)
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01908576
- Record Type: Publication
- ISBN: 9780784485040
- Files: TRIS, ASCE
- Created Date: Feb 20 2024 9:17AM