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Title: Driver Decision-Based Lane Change Execution Model Toward Real Traffic Simulation
Accession Number: 01663625
Record Type: Component
Abstract: A new driver decision-based lane change execution model has been developed to consider various driver decision factors, such as the desire point setting, priority decision-making, corresponding actions and achievement of consensus analysis, for both lag and subject vehicles in a lane change process. Compared with the traditional lane change execution models, the present model enables a comprehensive description of the real lane change processing with three unique aspects: (1) the lateral dimension is considered in the lane change execution model by introducing a concept of feeling distance; (2) the simulation is based on a series of driver’s decisions, therefore the dynamical lane change execution process can be successfully captured; (3) more reasonable interpretation of the mandatory lane change (MLC) and discretionary lane change (DLC) are implemented in the presented model. A microscopic simulation program is further developed in MATLAB. The simulation results agree well with the field test situations at different traffic situations.
Supplemental Notes: This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.
Report/Paper Numbers: 18-03279
Language: English
Authors: Wang, LiangChen, FangliangYin, HuimingPagination: 17p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Photos; References; Tables
TRT Terms: Identifier Terms: Subject Areas: Highways; Operations and Traffic Management
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-03279
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 10:48AM
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