A real-time personalized route recommendation system for self-drive tourists based on vehicle to vehicle communication

Authors:
Long Liu;Jin Xu;Stephen Shaoyi Liao;Huaping Chen
Affiliations:
Department of Information Systems, City University of Hong Kong and USTC-CityU Joint Advanced Research Center, Suzhou, PR China and Department of Management School, University of Science and Techn ...;Department of Electronic Commerce and Information Management, School of Economics & Management, Southwest Jiaotong University, Chengdu, PR China;Department of Information Systems, City University of Hong Kong and USTC-CityU Joint Advanced Research Center, Suzhou, PR China and Department of Electronic Commerce and Information Management, Sc ...;Department of Management School, University of Science and Technology of China and USTC-CityU Joint Advanced Research Center, Suzhou, PR China
Venue:
Expert Systems with Applications: An International Journal
Year:
2014

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Abstract

Recently, traffic jams and long queuing problems in tourist hot spots is growing with the increasing number of self-drive tourists. Some recommendation systems have been developed in attempt to relieve these problems. However, all these systems lack information pertaining to real-time traffic as well as the ability of personalization. In this research, we have developed a novel route recommendation system to provide self-drive tourists with real-time personalized route recommendations. This will help to reduce the traffic jams and queuing time in tourist hot spots. It will also help to personalize visiting routes based on the user's specific preferences. Ultimately, based on the evaluation results given by experienced self-drive tourists, we have shown that the proposed system not only saves total visiting time, but also meets their specific visiting preferences.