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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, Liang
Chen, Fangliang
Yin, Huiming

Pagination:

17p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References; Tables

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