Synchronous Optimization of Path Partition and Green-band Coordination for Mixed Traffic at Long-distance Arterials

Abstract:

There are significant difference between car trajectories and bus ones at urban long-distance arterials， and so the signal coordination strategy should take it into account to balance the progression needs of both vehicles. Such as to tackle with the problem of signalized intersection grouping at the long arterial with high-demand bus vehicles， this paper analyzed the temporal and spatial trajectory characteristics of cars and buses along the arterial with bus stops and presented a new signal coordination based on differential intersection group partition. The proposed model set the coordinated breaking points of car and bus trajectories at intersections and bus stops， respectively， and built a mixed integer linear programming model to minimize the weighted summation of delay and waiting time for car-users and bus passengers. In simulation tests that used the field arterial of having 13 signalized intersections from Zhongshan， compared with Multiband， the developed model can reduce the average vehicle delay of cars and buses by 34.7% and 13.7%， and the number of average stops by 28.7% and 30.0%， respectively. Further exploration with simulation experiments for sensitivity analysis on saturation， common cycle length and bus dwelling time found that the developed method can provide the synchronous progression for cars and buses on the long arterial.

Key words:intelligent transportation;long-distance arterials;car and bus;differentiated segmentation coordination