1 August 2007 An adaptive method to record the track of a vehicle using map-matching result and quantitative fuzzy description
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For monitoring or tracking a vehicle locally or remotely, positioning information should be stored locally or transferred through wireless network timely. One of those key problems in such a system is to find an appropriate time-duration to update the position of the vehicle. If the time-duration is too small, too much positioning data will be stored locally or be transferred; but if the time duration is too big, the track cannot be recorded faithfully, and you can not identify the actual route the vehicle just went through. To resolve this problem, an adaptive method based on map-matching technology and fuzzy description is presented in this paper. Through running map-matching by comparing the vehicle's positioning information with road network geometrical and topological information in digital maps, a more precise position can be obtained and the current road can be identified. After that, the following factors are considered to detect whether the current position need be updated in center control unit: time duration, running distance, estimation error, the vehicle state changing, and running road changing. A deduction method is used to estimate and compare with the measured vehicle state. And a quantitative fuzzy description is used to describe the speed and angular speed of the vehicle. After that, an OR arithmetic logic computing unit is used to decide whether need update current position to center control unit. Finally, a test is given to evaluate this algorithm. The proposed adaptive algorithm can record the vehicle's track faithfully, and at the same time it decreases the communication cost between the mobile station and the center control unit.
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Xiaoguo Zhang, Xiaoguo Zhang, Xin Guan, Xin Guan, Linxiang Zhang, Linxiang Zhang, } "An adaptive method to record the track of a vehicle using map-matching result and quantitative fuzzy description", Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510O (1 August 2007); doi: 10.1117/12.759673; https://doi.org/10.1117/12.759673

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