Chapter
Apr 26, 2012
A Probability Distribution Model on Route Optimization for Hazmat Transportation
Authors: Xiaoyu Deng [email protected], Yinzhen Li, and Weimin Ma [email protected]Author Affiliations
Publication: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration
Abstract
The transportation of hazardous materials may result in significant social risks. The route planning is one of the most effective measures to reduce the risk and the cost. A new probability model based on time dependent of links is developed. The routing algorithm based on the model is also put forward to find the optimal route whose sum of weighted risk-cost is the least. An example is introduced to verify its usability. The model is convenient for carrier to select the optimal route by adjusting the probability distribution in different time slots of links according to the real situation.
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Information
Published In
ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration
Pages: 3095 - 3103
Copyright
© 2010 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Business management
- Disaster risk management
- Disasters and hazards
- Distribution functions
- Engineering fundamentals
- Hazardous substances
- Infrastructure
- Man-made disasters
- Mathematical functions
- Mathematics
- Models (by type)
- Optimization models
- Practice and Profession
- Probability
- Probability distribution
- Routing (transportation)
- Simulation models
- Social factors
- Traffic engineering
- Traffic management
- Traffic safety
- Transportation engineering
Authors
Affiliations
College of Transport Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; and College of Logistic, Beijing Normal University, Zhuhai Campus, Zhuhai 519087, China.E-mail: [email protected]
Yinzhen Li
College of Transport Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
College of Logistic, Beijing Normal University, Zhuhai Campus, Zhuhai 519087, China.E-mail: [email protected]
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