高速公路隧道与互通立交衔接段异质交通流演化规律

Evolution law of heterogeneous traffic flow in the connecting section of expressway tunnel and interchange

为了分析异质交通流环境下高速公路隧道与互通立交衔接段交通流演化规律,结合智能驾驶员模型及协同自适应巡航控制模型,考虑智能网联车辆与人工驾驶车辆特性,构建了改进NaSch模型作为异质流的纵向跟驰模型,基于高速公路隧道与互通立交衔接段车辆的行驶特性,建立了横向换道模型,通过仿真对不同场景下的交通流演化规律进行了研究。仿真结果表明:在120 km/h的主线限速场景下,衔接段长度500 m以上能够提高衔接段运营通行能力7.6%~9.67%;当异质流中自动驾驶车辆比例大于0.6时,可以提高衔接段通行能力35.25%~94.60%。研究结果可为将来异质流环境交通管控提供决策参考。

In order to analyze the evolution law of traffic flow at the junction of expressway tunnel and interchange under heterogeneous traffic flow environment, this paper combined the intelligent driver model, IDM and Cooperative Adaptive Cruise Control model, considering Connected and Autonomous Vehicle and human-driven Vehicle characteristics, an improved NaSch model was constructed as a longitudinal following model of heterogeneous flow, and a lateral lane-changing model was established based on the driving characteristics of vehicles at the junction between the expressway tunnel and the interchange. The traffic flow evolution law under different scenarios is studied by simulation. Simulation results show that under the main line speed limiting scenario of 120 km/h, the operation capacity of the connecting section can be improved by 7.6%~9.67% if the length of the connecting section is 500 m or more. When the proportion of autonomous vehicles in the heterogeneous flow is greater than 0.6, the capacity of the junction can be improved by 35.25% to 94.60%. The research results can provide reference for future traffic control in heterogeneous flow environment.