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Top2. Previous Works
Traffic signal control is an important and challenging real-world problem. Nowadays we now have richer data, more computing power and advanced methods to drive the development of intelligent transportation.
In addition, the research shows a certain interest for traffic management, with the aim of eliminating instability in the flow of traffic and to reduce the level of congestion.
(Jovanovic & al,2017) used the BC algorithm to solve problem of isolated intersection in an undersaturated and oversaturated traffic conditions. To control the flow of traffic. many popular strategies have been implemented to optimize the traffic light for a single intersection to reduce the waiting time for vehicles on the road but the use of a single intersection is not the best solution to slight the city (Alam & al., 2013) (He & Hou, 2012) (Fleuren & Lefeber, 2016) (Liu & Xu, 2012), this is why the researcher proposed a new technology that are the sensors that collect information on the intersections of the city to improve the accuracy of the detected traffic information (Yousef & al., 2010), and monitor the traffic characteristics in the city and dynamically adjust the traffic lights in the traffic control (Chin & al., 2011), (Chin & al., 2012).
(McKenney & White, 2012) propose the adaptive control System it gives better results than the fixed signal control that is traditionally used.
The biologically inspired techniques can be grouped into two categories- Evolutionary and Swarm algorithms, Evolutionary algorithms like genetic programming (GP), differential evolution (DE). cellular automata (CA) (Bhattacharjee & al., 2018), Swarm-based algorithms are inspired from social behaviour like ant colony (Mirjalili, 2019b), particle swarm optimisation (Mirjalili, 2019a), honey bees (Pham & Castellani, 2015), Bat Algorithm (BA) (Huang & Ma, 2020), earthworm optimization algorithm (EWA) (Hosseini Rad & Abdolrazzagh-Nezhad, 2020), Moth Search (MS)(Hu & al., 2016), elephant herding optimization (EHO) (Wang & al., 2016) and several others.