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Apr 26, 2012
Optimization of Dangerous Goods Transport Rout Based on Fuzzy Neural Network Comprehensive Evaluation
Authors: Jing Sun and Weixiong ZhaAuthor Affiliations
Publication: ICTE 2011
Abstract
After establishing the optimization index of dangerous goods transport route, the paper proposes a synthesized evaluation method based on fuzzy neural network. The optimal result more reliable within the agreed accuracy range. Combining the optimal result index of road transport of dangerous goods routes, corresponding evaluation mathematical model is established. According to the characteristics of the evaluation model, after overcoming other evaluation methods' defections, a calculation method is developed. Finally, the analysis of application example is carried out in the system of dangerous goods route optimization evaluation.
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© 2011 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Disaster risk management
- Disasters and hazards
- Engineering fundamentals
- Freight transportation
- Fuzzy logic
- Hazardous substances
- Infrastructure
- Man-made disasters
- Mathematical models
- Models (by type)
- Neural networks
- Optimization models
- Routing (transportation)
- Traffic engineering
- Transportation engineering
- Transportation management
- Transportation networks
Authors
Affiliations
Jing Sun
Institute of Transportation and Economics (Humanities and Social Sciences Research Base of Jiangxi Province), East China Jiao Tong University, Nanchang 330013 China
Weixiong Zha
Institute of Transportation and Economics (Humanities and Social Sciences Research Base of Jiangxi Province), East China Jiao Tong University, Nanchang 330013 China
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.