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Title:

How Has Driver Behavior Been Considered in Traffic Microsimulation and How Can we Use Cognitive Sciences and Psychology Studies to Enhance Them?

Accession Number:

01628770

Record Type:

Component

Abstract:

Driver behavior is a significant contributor to traffic operational quality, affecting car-following behavior, lane changing, gap acceptance, and overall capacity. It is also a significant element in traffic modeling algorithms as well as traffic simulation tools. To-date, these tools face many challenges to provide a more realistic representation of traffic operations, particularly when replicating variability in traffic operational performance. Existing tools allow for variability through the use of various distributions and random number generators. However, the literature has not provided clear and direct links between driver behavior and the distributions currently used. As a result, calibration is conducted to fit the simulation results to the field data, but this process could be significantly enhanced if the driver-related aspects could be measured, better modeled and estimated. At the same time, a lot of work has been reported in the field of cognitive science and psychology with emphasis in understanding, modeling and predicting human behavior and drivers’ intended actions. This paper aims to identify measurable behavior parameters and lay the groundwork to create a practice-ready framework for including such parameters in existing microsimulation environments. In this paper, first the state of the art of both traffic microsimulation and driver behavior models is presented. Then, modeling options are discussed with a demonstration of the effect of driver behavior on capacity. Specific behavioral elements (e.g. workload) to enhance microsimulation models are identified, along with suitable data collection methods.

Supplemental Notes:

This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-04755

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Manjunatha, Pruthvi
Kondyli, Alexandra
Elefteriadou, Lily

Pagination:

20p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-04755

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:49AM