分路段交通状态模式元胞传递模型

Cell Transmission Model Under Different Patterns of Road Traffic State

对城市快速路元胞传递(CTM)模型进行了研究.根据不同路段交通状态模式下,路段交通流动态特性的"可观测性"会由于交通信息传播方式差异而不同,提出了城市快速路分模式元胞传递模型.该模型更新了流量传输模型,将其表示为不同路段交通状态模式下的分段函数形式,并针对城市快速路构建了下匝道流量传输模型.以上海南北高架部分路段实际检测数据为例,测试比较了3种宏观元胞自动机模型,结论为分模式CTM模型性能最好.在将其应用于大规模数据测试时,密度估计结果平均百分比误差为20%左右,流量估计结果平均百分比误差为10%左右,仿真效果比较理想.

A research was made of the cell transmission models on city expressway.The Pattern cell transmission model（CTM） was proposed based on that the observability of traffic flows＇ dynamic characteristic appeared to be different according the transmission methods of traffic information under different patterns of road traffic state.In Pattern CTM cell transmission model,the flow transmission model on main-road was updated to be expressed as the form of piecewise function and the flow transmission model on off-ramp was constructed against the city expressway.Taking the real data on Shanghai North-South Expressway as example,the performance of three CTMs were compared.The result shows that the Pattern CTM is the best of all.When the Pattern CTM is applied in large scales,the mean percent error（MPE） of density is around 20% and the MPE of flow is around 10%,which show that the simulation result is satisfactory.