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Title: Modeling and Simulation of Right-turn Vehicle Behaviors under Influences of Conflicting Bicycles at Intersection
Accession Number: 01628877
Record Type: Component
Abstract: The concept of shared space removes strict priority and right-of-way rules among different modes of users, and has an enormous impact on current traffic facilities and operations. In intersection, the interactions between turning vehicles and bicycles occur for similar reasons as in shared space that non-strict and mixed priority lead behavior to a dynamic decision process with two-dimensional feature. Most of current microscopic simulation software are lane-based and insufficient for agents’ flexible movements, thus it is necessary to recur vehicle behaviors via numerical simulation model. This paper presents a two-dimensional simulation model based on social force model and aims to reproduce right-turn vehicle’s real behavior under the influences of conflicting bicycles in intersection. A simulation framework has been proposed by accommodating vehicular preemptive/yielding decision model, conflict avoidance strategy and a modified social force model to execute predicted behavior. A contrasting analysis of trajectory, speed, travel time and PET distribution from simulation and real data are presented to evaluate the performance of presented model. The results show that simulation data matches empirical data commendably and indicate validity and applicability of proposed model, which further provides an elementary tool to model heterogeneous flow and improve traffic safety on two-dimensional space.
Supplemental Notes: This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-03928
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Long, KeyuNi, YingPagination: 15p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Candidate Terms: Subject Areas: Highways; Operations and Traffic Management; Pedestrians and Bicyclists
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-03928
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 11:30AM
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