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Title:

A Dynamic Network Loading Model Using Macroscopic Traffic Dynamics for Multiple-Reservoir System

Accession Number:

01628901

Record Type:

Component

Abstract:

This paper presents a dynamic network loading model that captures the traffic dynamics for large scale multiple reservoir network, accounts for the relationship of macroscopic traffic characteristics, and proposes a numerical scheme for reducing computational burden. It is a full-fledged model that consists of a link model and node model. First of all, the traffic dynamics of internal path segments in a reservoir are specified by a system of Lighthill-Whitham-Richards-like partial differential equation that builds on the conservation law. On the other hand, the flows at intersections are determined by the supply and demand of upwind and downwind reservoirs. Secondly, a novel numerical method based on the Godunov scheme is developed to track the movement of vehicles in network and thereby it can maintain the priority of vehicles. In comparison with previous studies, this computational efficient numerical scheme considers the non-uniformity of cell size in different path segments of a reservoir, maintains the flow conservation by a holding principle and tracks the evolution of traffic dynamics at a faster speed. Numerical experiments show that the proposed methodology could describe the dynamics of vehicles in large-scale traffic network well.

Supplemental Notes:

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

Monograph Accession #:

01618707

Report/Paper Numbers:

17-06533

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Ge, Qian
Ma, Jiangshan
Fukuda, Daisuke

Pagination:

23p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-06533

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:40PM