考虑车流异质性的信号交叉口疏解车辆跟驰模型

为客观地描述绿灯期间交叉口进口道异质疏解车流的跟驰行为，基于实测数据验证全速差模型发现，其加速度、速度、车间距的仿真结果存在较大误差. 考虑不同车型车辆性能和驾驶员驾驶行为差异，基于4 种跟驰情景，即小客车跟驰小客车(car-car)，小客车跟驰公交车(car-bus)，公交车跟驰小客车(bus-car)，公交车跟驰公交车(bus-bus)，建立考虑车流异质性的车辆跟驰模型. 结果表明，改进模型的性能提升明显，较全速差模型，速度和跟驰间距的均方根百分比误差(RMSPE)分别下降了15.29%，22.32%，更符合交叉口进口道异质疏解车流的跟驰行为.

Improved Car-following Model Considering Mixed Traffic Flow on Queue Discharge at Signalized Intersections

The Full Velocity Difference Model(FVD) had been calibrated and verified based on the real traffic data to reflect the car-following behavior of the mixed traffic flow at the intersection approach during the signal green time. However, the simulation results showed big gaps on acceleration, speed and vehicle spacing by using the FVD model. This study considered the differences of vehicle types and driver's behavior at four scenarios: car following car, car following bus, bus following car, and bus following bus, and then developed a new car-following model. The analysis results show that the performance of the proposed model has been significantly improved, and the Root Mean Square Percentage Errors (RMSPE) of speed and vehicle space are 15.29% and 22.32% , respectively, which are lower than the FVD model results. The improved model performs better than the FVD model in describing the car-following behavior at approaches of signalized intersections.