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Title:

Agent-Based Approach to Modelling Bus Bunching and Dispersion Under the Influence of Demand Variability

Accession Number:

01659659

Record Type:

Component

Abstract:

This paper presents an agent-based approach to understanding vehicle bunching under demand variability. A hypothetical bus route that consisting of 12 stops was designed. Using NetLogo 6.0, three different scenarios were modelled to analyze the bunching phenomenon under different conditions. Two new indices, a Bunching Index (BI) and a Dispersion Index (DI) were introduced to quantify vehicle bunching and dispersion by measuring the variance in passengers’ waiting time. According to the analysis, the best way to alleviate bunching is a combination of buses coordination, passengers’ variance accommodation, and using terminals as control points to prevent bunching propagation. Inadequate spacing between stops, traffic conditions, passengers’ variance, relatively small headway, and small terminal time may trigger bunching phenomenon.

Supplemental Notes:

This paper was sponsored by TRB committee AP050 Standing Committee on Bus Transit Systems. Agent-Based Approach to Modeling Bus Bunching and Dispersion Under the Influence of Demand Variability: This is an alternate title.

Report/Paper Numbers:

18-03628

Language:

English

Authors:

Eldeeb, Gamal
Idris, Ahmed Osman
Parrott, Lael

Pagination:

14p

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; References; Tables

Uncontrolled Terms:

Agent based models

Subject Areas:

Operations and Traffic Management; Planning and Forecasting; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-03628

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:54AM