| Recent years, subways gradually become one of the most important means of transportation in modern cities, which play an even greater role in urban intelligent process. The passenger service system is necessary to humanize the transportation system, which can be used to push traffic information and passenger information for passengers, and to optimize the route for passengers. In addition, the vehicular server can also provide some popular video for passengers to download. In view of this, a subway intelligent service system is studied in this paper according to the passengers'requirement.The developed subway intelligent service system involves two main contents:route optimization and update of the video in the vehicular server. To get an optimal route for passengers, a heuristic searching strategy based on the running time and the passengers' information is proposed. And then, the optimal route can be sent to the passengers by the mobile or the pad. To guarantee the video in the server is most required by the passengers, a term classification-based update strategy is proposed to update the video. On the one hand, the daily searching records of the passengers on the website is used as the term mining object. The frequency of occurrence of the term is counted based on a distributed parallel statistics method. The term with high frequency can be viewed as the most popular searching object. On the other hand, the term with high frequency is classified by the TAN classifier. And the video is upload to the vehicular server according to the results of the term classification.Finally, an application software is developed based on the frameworks of mobile client. Eclipse juno is chosen for development, and the Java language is employed here. Android 4.4 is used for testing and viewed as the developing platform. The function of the software contains path planning, information guidance and video download. |
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