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Title:

Bus Service Design Under Demand Diversion and Dynamic Roadway Congestion Based on Aggregated Network Models

Accession Number:

01590257

Record Type:

Component

Abstract:

This paper proposes an integrated methodological framework to design spatial-dependent bus route network and time-dependent headways to serve travel demand that varies over time and space. Travelers choose transit or driving mode (as well as travel paths) that minimizes its equilibrium travel cost in the multi-modal network. Transit routes use dedicated bus lanes in the city streets, and hence roadway congestion (which evolves dynamically based on regional macroscopic fundamental diagrams) depends on the transit route design. The proposed modeling framework consists of a bus network optimization module that produces optimal headways and local route spacing, and a dynamic aggregated network model that determines route choice, mode split, and user equilibrium conditions for all origin-destination demands. An iterative solution algorithm is developed to solve such an integrated model. Numerical experiments are used to demonstrate the applicability of the proposed modeling framework and provide managerial insights on the influence of the demand pattern, transit network design, and roadway congestion on system performance.

Supplemental Notes:

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

Monograph Accession #:

01584066

Report/Paper Numbers:

16-0533

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Yildirimoglu, Mehmet
Petit, Antoine
Geroliminis, Nikolas
Ouyang, Yanfeng

Pagination:

20p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Subject Areas:

Operations and Traffic Management; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-0533

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 4:22PM