Abstract:

       We stated various modes of vehicle queuing and constructed a vehicle queue length model based on shock wave theory for upstream and downstream traffic flows between two adjacent intersections to describe vehicle queue growth and dissipation between signalized intersections with different cycles, taking the key intersection of twice cycles of doublecycle intersection as an example. We also designed a simulation scheme with traffic simulation software VISSIM to validate the effectiveness of the model. 35 groups of data were obtained through simulation, each of which included 84 valid data by many combinations of signal red time difference and traffic flow rate under different conditions. Results show that the number of signal cycles whose relative error between the simulated and calculated values of queue dissipation length is less than 10% accounts for 75.56% and 95.00% for upstream and downstream traffic flows. The longer the cycle length at a signalized intersection is, the longer the average and maximum queue dissipation lengths are. Research results demonstrate that the model can be applied to the estimation of the queue length between signalized intersections with different cycles. The model can therefore provide a scientific basis for the optimization and adjustment of a traffic control scheme.

Key words: system engineering of traffic and transportation, vehicle queuing, shock wave theory, queue dissipation length