关键词: 行程时间, 移动定位, 位置更新/切换, 地图匹配, 数据融合

Abstract: Abstract: Distribution and prediction of dynamic traffic information is the key problem of ITS. However, due to all kinds of external factors traffic condition characterizes in randomicity, which results in great difficulties in distribution and prediction of dynamic traffic information. Distribution and prediction of dynamic travel time not only is the key target of real time distribution and prediction of dynamic traffic information, but also is an important part of theories of Traffic Flow Guidance System. Therefore, it makes research of dynamic travel time collection technology much more important. According to actuality of a certain city, a kind of brand new dynamic travel time collection technology based on mobile phone is introduced in the article. And the technologies, key problems and difficulty are discussed one by one. The method shows great advantages than traditional ways. They can be installed more quickly and with lower capital and operating costs, and can report information across the entire roadway network, not just as pre-determined locations.

Key words: Travel time, Location Based Services, Location Update/Handover, Map Matching, Data Fusion