Microscopic Simulation Modeling of En-Route Diversion Strategies for Commercial Vehicle Operations

Hao Wang; Ruey Cheu; Der Horng Lee

doi:10.4028/www.scientific.net/KEM.480-481.1008

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 480-481Microscopic Simulation Modeling of En-Route...

Microscopic Simulation Modeling of En-Route Diversion Strategies for Commercial Vehicle Operations

Abstract:

Most routing decisions or diversion plans in the literature are made based on the current traffic situation and little attention is paid to future. Such kinds of greedy strategy consistently suggest en route diversion at any point where the alternative route choice is better than the ongoing one. Hence, in the constantly varying real world, excessive diversions may appear and are much likely to create a sort of ‘zig-zag’ effect, eventually leading to a higher cost. A forward-looking diversion strategy considering both real-time and future information is proposed in this paper, and the potential benefits, limitations and difficulties of several diversion strategies are evaluated through microscopic traffic simulations. The research will help logistics companies to assess the benefits of en route guidance system in their day-to-day operations.

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Periodical:

Key Engineering Materials (Volumes 480-481)

Pages:

1008-1013

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.480-481.1008

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Online since:

June 2011

Authors:

Hao Wang, Ruey Cheu, Der Horng Lee

Keywords:

Commercial Vehicle Operations, Diversion Strategies, Microscopic Simulation

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References

[1] Regan, A.C., H.S. Mahmassani and P. Jaillet, Dynamic Decision Making For Carrier Fleet Operations Using Real-Time Information, Transportation Research Record, 1537, (1996), pp.91-97.

DOI: 10.1177/0361198196153700113

Google Scholar

[2] Mahmassani, H.S., Y. Kim, and P. Jaillet, Local Optimization approaches to Solve Dynamic Commercial Fleet Management Problems, Transportation Research Record, 1733, (2000), pp.71-79.

DOI: 10.3141/1733-10

Google Scholar

[3] Chabini, I., Discrete Dynamic Shortest Path Problems in Transportation Applications: Complexity and Algorithms with Optimal Run Time, Transportation Research Record, 1645, (1999), pp.170-175.

DOI: 10.3141/1645-21

Google Scholar

[4] Golob, T.F. and A.C. Regan, Impacts of Information Technology on Personal Travel and Commercial Vehicle Operations: Research Challenges and Opportunities, Transportation Research, Part C, Emerging Technologies, 9, (2001), pp.87-121.

DOI: 10.1016/s0968-090x(00)00042-5

Google Scholar

[5] Quadstone. PARAMICS V4. 1 User Guide and Reference Manual. Quadstone Ltd, Edinburgh, United Kingdom (2002).

Google Scholar