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Title:

Perceiving Traffic Environmental Information Based on Driving Scene Computational Model
Cover of Perceiving Traffic Environmental Information Based on Driving Scene Computational Model

Accession Number:

01506195

Record Type:

Component

Abstract:

A driver achieves perception information from traffic environment  by vision scenes instead of knowing concrete road design parameters during his driving activity. Traffic environmental information is mainly shown to drivers as driving vision scenes. Driving vision scenes are a series of two dimensional visual images shaped from three dimensional objects (e.g. highway, vehicles, roadside and surroundings along the highway). They are the most important perception sources for drivers to gain information and satisfy driving demands. During driving process, a driver combines observed environment information with his general knowledge together to derive actions which are divided into accelerating,  decelerating and keeping constant velocity. This paper focused on perceiving lanes and vehicles information based on driving scene, then relationship is studied between these information and velocity change. A driving scene computational model is established based on “foreground” and “background”. What can be defined as the “background” includes the sky, road pavement and roadside environment. Correspondingly, the rest is defined as “foreground”, which is constituted of vehicles as well as pedestrians. Then, operating speed and driving scene are collected through naturalistic driving survey equipment. A further analysis on the potentially of driving scene in fields such as traffic security assessment, traffic risk profile and driving acceleration and deceleration are discussed.

Supplemental Notes:

Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

Monograph Accession #:

01501394

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Chen, Yuren
Liao, Ruoyu
Ye, Yongxin
Liao, Zuxing

Pagination:

12p

Publication Date:

2011

Conference:

3rd International Conference on Road Safety and Simulation

Location: Indianapolis Indiana, United States
Date: 2011-9-14 to 2011-9-16
Sponsors: Purdue University; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References

Subject Areas:

Highways; Safety and Human Factors; I83: Accidents and the Human Factor

Files:

TRIS, TRB, ATRI

Created Date:

Jan 29 2014 12:52PM