Using game theory to optimize traffic light of an intersection

Khanjary, Mohammad

doi:10.1109/cinti.2013.6705201

Cited by 6 publications

(1 citation statement)

References 13 publications

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“…However, the TL model in [21] is applied to a single SI. [22] has presented a game theory model based on Cournot's Oligopoly game. [23] has proposed a novel game theory optimization algorithm for TL signal timing control.…”

Section: Introductionmentioning

confidence: 99%

Platoon-based autonomous vehicle speed optimization near signalized intersections

Faraj

Sancar

Fi̇dan

2017

2017 IEEE Intelligent Vehicles Symposium (IV)

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Road congestion in urban environments, especially near signalized intersections, has been a major cause of significant fuel and time waste. Various solutions have been proposed to solve the problem of increasing idling times and number of stops of vehicles at signalized intersections, ranging from infrastructure to vehiclebased techniques. However, all the solutions introduced to solve the problem have approached the problem from a single vehicle point of view. This research introduces a game-theoretic cooperative speed optimization framework to minimize vehicles' idling times and number of stops at signalized intersections. This framework consists of three modules to cover individual autonomous vehicle speed optimization; conflict recognition; and cooperative speed decision making. A time token allocation algorithm is introduced through the proposed framework to allow the vehicles to cooperate and agree on certain speed actions such that the average idling times and number of stops are minimized. Simulation to test and validate the proposed framework is conducted and results are reported.

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Section: Introductionmentioning

confidence: 99%