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针对个性化智能车辆协助环境中路径规划的模糊多属性决策算法

发布时间:2013-11-11 11:28:51 发布人:  审核人:

主讲人:陈俊龙教授

报告时间:11月12日,上午10点-11:30

报告地点:信息楼A306会议室

内容提要:

报告人:陈俊龙  博士、澳门大学科技学院院长、首席教授
学术报告题目:
Fuzzy Multi-Attribute Decision Making Algorithm for Vehicle Routing in Personalized Intelligent Vehicle Assistance Environment
(针对个性化智能车辆协助环境中路径规划的模糊多属性决策算法)

 

Abstract— In this talk, the focus is to discuss traffic navigation in a large-scale wireless sensor traffic network, where collecting and processing of the global realtime traffic information are often unreliable. Making real-time navigation decision becomes an arduous task. The vehicle navigation here is considered as a multiattribute decision making (MADM) problem. To address this issue, an efficient Wireless-Sensor-Network-based real-time vehicle navigation algorithm is proposed, in which multiple local traffic information are considered to make navigation decision in a quick and accurate way. Taking advantages sensor networks and multiple criteria decision making, this model offers the automobiles on the road the capability of real-time route selection, which bring less driving time, less travel distance, more fuel efficiency, or comprehensive consideration of multiple requests.

Because real-time traffic information involved in the navigation decision making should not be all denoted by exact data, some of them are more suitable to be denoted by fuzzy data, a general distance metric is presented for the processing of both exact and fuzzy data in MADM. The proposed algorithm can provide various navigation decisions according to the choice of different attributes to meet the diverse navigation requirements of drivers. Simulation results show the suitability and efficiency of the proposed algorithm. The proposed approach offers more selections and flexibility and can be integrated together with current vehicle routing applications such as found in Google or Baidu.

                     科技处、信息科学技术学院
                        2013年11月11日