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Title	Traffic Optimization By Simultaneous Control Of Vehicles Speeds And Routes
ID_Doc	58645
Authors	Haddad A.G.; Takiddeen A.; Obeid A.; Sleptchenko A.
Year	2019
Published	2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019
DOI	http://dx.doi.org/10.1109/IEA.2019.8715106
Abstract	As vehicle-to-vehicle communication and autonomous vehicles penetrate the market of smart cities, more techniques to solve the problem of traffic flow optimization become available. This paper addresses a new approach to tackle the problem of traffic flow optimization by simultaneously controlling the speeds and routes of vehicles. Both of these quantities can be controlled accurately in self-driving cars. The objective function is set to minimize the collective fuel consumption and traveling time of all drivers in the network. The solution eradicates the usage of traffic lights, and instead, employs constraints that disallow vehicles to meet at intersections. This solution can potentially improve the smoothness of traffic flow, because vehicles do not stop at intersections. This results in the reduction of travelling time and fuel consumption due to the process of acceleration and deceleration. Simulations were performed using MATLAB mixed-integer linear programming solver and were shown to give the optimal paths and speeds for 8 groups of cars in a 16-intersection network with a run time of less than 10 seconds. © 2019 IEEE.
Author Keywords	autonomous vehicles; route and speed optimization; smart cities; traffic flow; vehicle routing

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