A comparison of system optimum and user equilibrium dynamic traffic assignments with schedule delays

Byung Wook Wie; Roger L. Tobin; David Bernstein; Terry L. Friesz

doi:10.1016/0968-090X(95)00018-E

A comparison of system optimum and user equilibrium dynamic traffic assignments with schedule delays

Byung Wook Wie
, Roger L. Tobin
, David Bernstein
, Terry L. Friesz

Research output: Contribution to journal › Article › peer-review

41 Scopus citations

Abstract

One way to estimate the potential benefits of new traffic control and management systems is to compare the total cost incurred in equilibrium with the system optimized total cost. To do this, we formulate the dynamic traffic assignment models with schedule delays under the system optimum and user equilibrium principles and solve them using numerical methods. System optimum and user equilibrium dynamic assignments on an 18-arc test network are then compared in terms of total travel times and schedule delays at different levels of traffic congestion. This comparison provides important implications for the success of the intelligent transportation systems (ITS) in reducing traffic congestion.

Original language	English (US)
Pages (from-to)	389-411
Number of pages	23
Journal	Transportation Research Part C
Volume	3
Issue number	6
DOIs	https://doi.org/10.1016/0968-090X(95)00018-E
State	Published - Dec 1995

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

All Science Journal Classification (ASJC) codes

Transportation
Automotive Engineering
Civil and Structural Engineering
Management Science and Operations Research

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10.1016/0968-090X(95)00018-E

Cite this

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abstract = "One way to estimate the potential benefits of new traffic control and management systems is to compare the total cost incurred in equilibrium with the system optimized total cost. To do this, we formulate the dynamic traffic assignment models with schedule delays under the system optimum and user equilibrium principles and solve them using numerical methods. System optimum and user equilibrium dynamic assignments on an 18-arc test network are then compared in terms of total travel times and schedule delays at different levels of traffic congestion. This comparison provides important implications for the success of the intelligent transportation systems (ITS) in reducing traffic congestion.",

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AU - Wie, Byung Wook

AU - Tobin, Roger L.

AU - Bernstein, David

AU - Friesz, Terry L.

PY - 1995/12

Y1 - 1995/12

N2 - One way to estimate the potential benefits of new traffic control and management systems is to compare the total cost incurred in equilibrium with the system optimized total cost. To do this, we formulate the dynamic traffic assignment models with schedule delays under the system optimum and user equilibrium principles and solve them using numerical methods. System optimum and user equilibrium dynamic assignments on an 18-arc test network are then compared in terms of total travel times and schedule delays at different levels of traffic congestion. This comparison provides important implications for the success of the intelligent transportation systems (ITS) in reducing traffic congestion.

AB - One way to estimate the potential benefits of new traffic control and management systems is to compare the total cost incurred in equilibrium with the system optimized total cost. To do this, we formulate the dynamic traffic assignment models with schedule delays under the system optimum and user equilibrium principles and solve them using numerical methods. System optimum and user equilibrium dynamic assignments on an 18-arc test network are then compared in terms of total travel times and schedule delays at different levels of traffic congestion. This comparison provides important implications for the success of the intelligent transportation systems (ITS) in reducing traffic congestion.

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JO - Transportation Research Part C

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IS - 6

ER -

A comparison of system optimum and user equilibrium dynamic traffic assignments with schedule delays

Abstract

UN SDGs

All Science Journal Classification (ASJC) codes

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