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Rfaat Moner Soliby and Siti Suhana Jamaian
This paper has two main objectives. First, we modify the traffic flow model by introducing the uphill dispersion that derives from the fact that, in peak hours, drivers tend to travel from low to high density regions. This means that the proposed model r...
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Muhammad Usama, Rui Ma, Jason Hart and Mikaela Wojcik
Traffic state estimation (TSE) is a critical component of the efficient intelligent transportation systems (ITS) operations. In the literature, TSE methods are divided into model-driven methods and data-driven methods. Each approach has its limitations. ...
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Khairul Anuar, Mecit Cetin
Pág. 183 - 192
Probe vehicle data are increasingly becoming the primary source of traffic data. In current practice, traffic volumes and speeds are collected from inductive loop or similar devices. As probe vehicle data become more widespread, it is imperative that met...
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Ahmed R. Sadik and Bodo Urban
There is no doubt that the rapid development in robotics technology has dramatically changed the interaction model between the Industrial Robot (IR) and the worker. As the current robotic technology has afforded very reliable means to guarantee the physi...
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M. Sreekumar, Aishwarya Malgonde, Tom Mathew
Pág. 693 - 702
Technology applications like Advanced Traveler Information Systems (ATIS) would enable the travelers to take pre-travel decisions related to the route, mode or time of travel. This aids as a viable and efficient solution strategy for congestion problems....
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