A Multi-objective Evolutionary Algorithm for Hazmat Transportation Route Planning

• Main Authors: Chia-FanHsu, 許佳汎
• Other Authors: Ta-Yin Hu
• Format: Others
• Language: en_US
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/32fhm2

碩士 === 國立成功大學 === 交通管理科學系 === 106 === Hazmat transportation can seriously impact human life, environment and cause congestion or disruption in transport system if accidents occur through transportation process. Route planning of hazmat transportation is definitely a multi-objective problem involving multiple factors such as cost, risk for the most researches in the past. Moreover, the “Emergency response capability” is added to consider in this research which is an objective aiming to evaluate the rescue capability and resilience of network when an accident is happened. As a result of the 2014 Kaohsiung gas explosion event, the policy claimed to use chemical tank car instead of pipeline transporting hazmat, simultaneously, making the risk of hazard material shift to the road. Therefore, hazmat transportation route design and management is surely significant. Although there are many related researches existed, Taiwan still does not have a complete and integrated department yet. The various methods of dealing hazmat transporting problem were proposed, so the main goal of this research is constructing a suitable approach to build an appropriate model to manage the transport route for hazmat shipping in Taiwan. By choosing the genetic evolution algorithm to deal with the multi-objective hazmat transportation problem, the research also comparing the result with compromise weight method. Empirical study of Kaohsiung explosion network is implemented to illustrate the solution and analysis of the design. Through the right data input, the results can provide some suggestions for hazmat transporting route design in urban transportation system.