Abstract
System optimal (SO) traffic assignment offers better performance than user equilibrium (UE) traffic assignment, but most conventional car navigation systems are based on UE alone because it is difficult to realize SO traffic assignment. On UE traffic assignment, people usually choose the shortest route to travel. But, it always make traffic jam being happened. However, many modern cars are connected to the cloud and their traffic information is shared within the cloud. In the near future, all cars will be cloud-connected. In this case, SO traffic assignment can be realized using cloud-based navigation. In this paper, we propose an SO traffic assignment method using this cloud-based navigation system. In our method, the cloud collects the traffic information from the connected cars, computes the SO traffic assignments and recommends SO routes to the users. This paper provides an evaluation of the proposed navigation algorithm.
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Wang, W., Uehara, M., Ozaki, H. (2019). Proposal of Navigation System Based on System Optimal Traffic Assignment. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_16
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DOI: https://doi.org/10.1007/978-3-319-93659-8_16
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