Road Network Change Detection Based on Floating Car Data

نویسندگان

  • Luliang Tang
  • Fangzhen Huang
  • Xueyan Zhang
  • Hong Xu
چکیده

The efficiency and accuracy of road network data in the latest electronic maps cannot satisfy the current demands of their application's needs. The present paper proposes a new method to use floating car data to detect and update changes in the road network. An experiment was carried out with actual data to test and verify the feasibility of the novel method. With the highly accurate map-matching between the floating car data and the current road network, the method not only determines road network changes promptly, but also uses incremental detection to obtain updated information on road networks in real time. Compared with the traditional updating method, the new method proposed in the current work can greatly shorten the update period of road networks and improve update efficiency.

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عنوان ژورنال:
  • JNW

دوره 7  شماره 

صفحات  -

تاریخ انتشار 2012