JOURNAL ARTICLE

Optimal Routing Problem in Dynamic Stochastic Networks

Shichao SunZhengyu DuanDongyuan Yang

Year: 2013 Journal:   Procedia - Social and Behavioral Sciences Vol: 96 Pages: 817-827   Publisher: Elsevier BV

Abstract

Accidents, bad weather, traffic congestion, etc. contribute to the uncertainties of travel times in real-life transportation networks, which greatly affect the quality of individual life and the reliability of transportation system. In this paper, optimal routing problem is addressed in dynamic transportation networks with random link travel times. Taking the reliability of travel time into consideration, the robust schedule delay is used as the criterion of optimality to evaluate the paths, which is defined as minimizing the largest difference between the actual arriving time and the desired arrival time in dynamic stochastic networks. Under the stochastic consistent condition, a mathematic proof is given to simplify the problem. Then an exact modified Dijkstra's algorithm is designed for finding the optimal routing in STD networks and its computation complexity is calculated as a polynomial-time o(n2 *e). The validity of the proposed algorithm is also confirmed by conducting a test in a sampled network.

Keywords:
Reliability (semiconductor) Schedule Routing (electronic design automation) Dijkstra's algorithm Computer science Mathematical optimization Computation Traffic congestion Mathematics Shortest path problem Algorithm Engineering Computer network Theoretical computer science

Metrics

4
Cited By
0.97
FWCI (Field Weighted Citation Impact)
13
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Transportation Planning and Optimization
Social Sciences →  Social Sciences →  Transportation
Vehicle Routing Optimization Methods
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Traffic control and management
Physical Sciences →  Engineering →  Control and Systems Engineering

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