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首页> 外文期刊>Journal of advanced transportation >Modeling Car-Following Behaviour of Turning Movements at Intersections with Consideration of Turning Radius
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Modeling Car-Following Behaviour of Turning Movements at Intersections with Consideration of Turning Radius

机译:考虑转弯半径的交叉点在交叉口转动运动的建模行为

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In order to deeply analyze and describe the characteristics of car-following behaviour of turning vehicles at intersections, the features and application conditions of classic car-following models were analyzed firstly. And then, through analysing the relationship between the maximum velocity of car-following vehicles and the turning radius of intersection, the differences in key variables between turning and straight car-following behaviour were identified. On the basis of Optimal Velocity (OV) model, a Turning Optimal Velocity (TOV) car-following model with consideration of turning radius and sideway force coefficient at intersections was developed. PreScan simulation was employed to build the scene of turning car-following process at an intersection. Based on linear stability analysis, the stability conditions of the TOV model were derived. And it was found that (1) the turning radius has a significant effect on the car-following behaviour of turning vehicles at intersections; (2) with the increase of the distance between vehicles, the driver’s response sensitivity coefficient increases and then decreases and reaches the maximum value when the distance reaches the minimum safe distance; (3) with the increase of turning radius, the stability of the car-following fleet tends to decrease, and it is more likely to become a stop-and-go traffic flow. In addition, the numerical simulation results indicate that the TOV model can describe the car-following behaviour of turning vehicles more accurately with consideration of turning radius. The findings of this study can be used in the development of microscopic traffic simulation software and for improving traffic safety at intersections.
机译:为了深深地分析和描述交叉路口车辆跟踪车辆的特点,首先分析了经典车型模型的特征和应用条件。然后,通过分析汽车跟随车辆的最大速度与转动半径之间的关系,识别转弯和直接车间行为之间的关键变量的差异。在最佳速度(OV)模型的基础上,开发了考虑转动半径和交叉处的侧向力系数的转向最佳速度(TOV)车型模型。预扫描模拟被用来建立在交叉路口转动车次的过程的场景。基于线性稳定性分析,推导了TOV模型的稳定性条件。结果发现(1)转弯半径对交叉口车辆的车辆跟踪行为有显着影响; (2)随着车辆之间的距离的增加,驾驶员的响应灵敏度系数增加,然后减少并在距离达到最小安全距离时达到最大值; (3)随着转弯半径的增加,汽车之后舰队的稳定性往往会降低,并且更有可能成为停止和转向的交通流量。此外,数值模拟结果表明,考虑到转弯半径更准确地描述车辆跟踪车辆的汽车跟踪行为。该研究的结果可用于开发显微流量仿真软件,并在交叉路口提高交通安全。

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