Congestion reduction via personalized incentives

Ali Ghafelebashi, Meisam Razaviyayn & Maged Dessouky
The purpose of this research is to develop real-time algorithms to reduce traffic congestion and improve routing efficiency via offering personalized incentives to drivers. The incentives and alternative routes should be chosen smartly in order to maximize the probability of acceptance by drivers and to avoid the creation of new congestion in other areas of the network. To this end, we propose to exploit the wide-accessibility of smart communication devices and develop a real-time look-ahead...
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1 download reported since publication in 2020.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?