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The conventional mathematical models that are used for traffic distribution and traffic mode choice forecasts consider neither the individual heterogeneity on the micro level nor the changeable traffic scenes. This prompted us to propose a new forecast method composed of a traffic survey, an artificial transportation system (ATS), and computational experiments. We introduced a BDI modeling method...
Searching parking spaces in urban cities has been a problem in development of intelligent transportation system for a long time. The existing methods usually require numerous sensors to collect vacancy information, and a central server shares and updates the real-time information on request. However, this sensor-based scheme often demands huge investment on infrastructure construction and maintenance...
The vehicular ad hoc network (VANET) is an essential technology that enables the deployment of the intelligent transportation system (ITS), which improves the traffic safety and efficiency. For the efficient message delivery in VANET, it is desirable to provide a reliable and stable VANET routing protocol. However, VANET routing is challenging since the VANET is fundamentally different from conventional...
We propose that by utilizing acoustically-active delivery vehicles (AADVs), which combine the acoustic activity of an ultrasound contrast agent (UCA) with the high payload and extravasation ability of nanoparticles, we can overcome limitations of current chemotherapy delivery methodologies. AADV were formed by conjugating nanocapsules to the shell of biotinylated UCAs. Ultrasound parameters were optimized...
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