Queue length estimation at isolated intersections based on intelligent vehicle infrastructure cooperation systems

摘要

With the advance of intelligent vehicle infrastructure cooperation systems (i-VICS), many traffic parameters can be inferred given data from the OBU (On Board Unit of i-VICS)-equipped vehicles to calculate some information used in the modern urban traffic management. As a typical application, the estimation of investigated queue length at isolated intersections is proposed in the paper. Firstly, the queue length estimation at isolated intersections is explored to be transformed into the problem of deriving the number of queued vehicles. Two models, the improved and advanced interpolation methods, are then introduced to the condition of single cycle and multiple cycles, respectively. The microscopic simulation software VISSIM is adopted to evaluate the effect of the derived models. Its analysis shows that, under the condition of single cycle, the mean absolute error (MAE) of the improved interpolation method is less than 2 vehicles when the equipped rate of i-VICS OBU is higher than 50% and the maximum MAE with 30% equipped rate will be no more than 4 vehicles. On the other hand, under the condition of multiple cycles, the MAE of the advanced interpolation method with very low OBU-equipped rates will be less than 6 vehicles. Finally, numerical results of proposed approach have shown the relations of MAE with the volume-to-capacity ratio and the OBU-equipped rate.