中文摘要：

Biao Leng received his BSc from the School of Computer Science and Tech- nology, National University of Defense Technology, China, in 2004, and his MSc and PhD from the Department of Computer Science and Technology, Ts- inghua University, Beijing, China, in 2009. He is an associate professor atthe School of Computer Science and Engineering, Beihang Univer- sity, China. His current research interests include intelligent trans- portation systems, pedestrian evacuation, 3D model retrieval, ma- chine learning, and data mining. Jiabei Zeng received her BE from the School of Advanced Engineering, Bei- hang University. Now, she is a PhD candidate in the School of Computer Science and Engineering in Beihang University. Her research areas are in- telligent transportation systems and 3D model retrieval. Zhang Xiong, professor, doctoral su- pervisor, dean of Sino-French Engi- neering School, the director of the Advanced Computer Application Re- search Engineering Center of National Educational Ministry, member of the National Computer Science and Tech- nology Teaching Steering Committeeof the Ministry of Education, expert of the State Leading Group Of- fice of Golden Card Project, member of the National GFMIS Expert Consultative Committee. Xiong has made significant contributions to large-scale computer application engineerizing, and has won a first-class award in the National Science and Technology Progress Awards. His research areas are intelligent transportation systems and multimedia processing. Weifeng Lv is a professor, the dean of School of Computer Science and En- gineering, and vice director of the na- tional laboratory of software develop- ment environment. His main research direction is large-scale software devel- opment methods and field service ori- ented software support technology. Lvis a member of the National Science and Technology Platform Stan- dardization Technical Committee, the National Intelligent Trans- portation System Standardization Technical Committee, and the Second Beijing Information Expert