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Title:

Expected Time of Arrival Model for School Bus Transit Using Real-Time GPS-Based Automatic Vehicle Location Data

Accession Number:

01046330

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

The school bus is a major transportation mode for students to attend schools, but its unexpected delay may constitute a major source of inconvenience for students and their parents. Accordingly, the provision of timely and reliable information on the expected arrivals of school buses would be of great benefit to them. This study develops an Expected Time of Arrival (ETA) model for school buses. The developed model predicts the arrival time from the input of two categories: the last several days’ historical data and the current day’s operational conditions. An operational strategy is additionally incorporated into the model to reduce the risk that an overestimated arrival time can result in missing the bus. This study evaluates the model using data collected from real operations of school buses on which a GPS-based Automatic Vehicle Location (AVL) system is installed. The proposed model consistently shows the lower level of prediction error than moving average and regression approaches. With the operational strategy, it provides a sufficiently reliable service in which approximately 99% of students do not miss the bus, with the tolerable wait time of 162-177 seconds on average.

Monograph Accession #:

01042056

Report/Paper Numbers:

07-1274

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Chung, Eui-Hwan
Shalaby, Amer S

Pagination:

17p

Publication Date:

2007

Conference:

Transportation Research Board 86th Annual Meeting

Location: Washington DC, United States
Date: 2007-1-21 to 2007-1-25
Sponsors: Transportation Research Board

Media Type:

CD-ROM

Features:

Figures (5) ; References (6) ; Tables (3)

Uncontrolled Terms:

Subject Areas:

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

Source Data:

Transportation Research Board Annual Meeting 2007 Paper #07-1274

Files:

TRIS, TRB

Created Date:

Feb 8 2007 5:53PM