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A smart city’s main purpose is to provide intelligent responses to different problems of the rapid urban population growth. For instance, integrating fleet management solutions into intelligent transportation systems (ITS) can efficiently resolve transportation problems relying on each vehicle information. Usually, the position estimate is ensured by the integration of the Global Positioning System...
A smart city is emerging as an application of information and communication technologies to mitigate the problems generated by the urban population growth. One of the smart city solutions is to establish an efficient fleet management relating to the use of a fleet of vehicles (e.g., ambulances and police vehicles). The most basic function in a fleet management system is the real time vehicle tracking...
Global Positioning System (GPS) and Inertial Navigation Systems (INS) are usually used for real time vehicle positioning. Unfortunately, this high cost solution still suffers from GPS outages due to multipath errors. To perform data fusion, the Extended Kalman filter (EKF) has been widely adopted as an optimal estimation tool for non-linear systems. However, it has some drawbacks in terms of stability,...
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