Queuing Equilibrium Control of Urban Intersection Based on Floating Car Data

In recent years, the queuing equilibrium research based on traditional detector data is limited by the influence of data loss, resulting in inaccurate arrival rate and dissipation rate of the obtained vehicles. Based on this problem, this paper proposes a method of using the vehicle trajectory characteristics in the floating car data without calculating the arrival rate. Firstly, the genetic algorithm is used to find the optimal queuing intensity sequence. Then, by the relationship between the queue length and the green time, the green time of each phase is adjusted in real time, and the queue length equalization is realized, which effectively reduces the green light loss time. Through VISSIM simulation verification, the queuing delay and queuing intensity of each phase are reduced.