Genetic Algorithm in Traffic Control and Autonomous Driving

This chapter will discuss the recent and notable advances in using the Genetic Algorithm for autonomous vehicles and traffic control applications. The interest of research communities, industries, and urban organizations in traffic control and autonomous driving, the high complexity of the context, and the significance of these fields’ reliability and safety caused many optimization problems to arise from the context. So, numerous optimization algorithms have been employed to address these problems. As one of the most powerful and diverse optimization methods, the Genetic Algorithm has been used to improve and stabilize the performances of autonomous vehicles and traffic control tasks. This chapter will be divided into two sections. The first section will explore the genetic algorithm’s advances in urban traffic control problems. The advances in autonomous driving tasks using the genetic algorithm will be discussed in the second section.