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Title:

Evaluation and Application of Automated Traffic Sensor Data under Indian Conditions

Accession Number:

01518171

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

The basic requirement of any Intelligent Transportation Systems (ITS) application is the real time capturing of traffic system characteristics. With the advancement in intelligent transportation sector, several types of traffic sensors based on different sensing technology are available for vehicle sensing. However, most of the available sensors are developed for traffic conditions that exist in western countries where, only one or two classes of vehicles move in a lane disciplined fashion. However, traffic conditions in India are different from that, with heterogeneity and lack of lane discipline. Under such conditions, the traffic detectors that are proven to be working well under lane disciplined and homogeneous traffic conditions may not work well. In this paper, four popular sensor technologies - one video image processing software, one video sensor, one radar based and one infra-red based detection technologies, are evaluated for their performance under Indian traffic conditions. The evaluation was carried out for commonly used parameters, volume, classification and speed, based on statistical analysis. Use of the data from best performing sensors for selected ITS application is also demonstrated. The application demonstrated is on real time congestion information by estimating traffic density from the location based data collected using these sensors.

Supplemental Notes:

This paper was sponsored by TRB committee ABE90 Transportation in the Developing Countries.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-2554

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Raj, Jithin
Ramesh, V
Varma, Sunny Raja
Vanajakshi, Lelitha Devi

Pagination:

16p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-2554

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 2:53PM