Vehicles moving in a heterogeneous traffic stream with no-lane-discipline maintain certain lateral gaps with the adjacent vehicles/objects. These gaps vary due to the static and dynamic behavior of vehicles, and the stochastic nature of the driver behavior. Majority of the studies consider the lateral gaps to be either constant or linearly varying . However, empirical observations suggest that the logistic curve model can suitably represents this behavior. Besides, it was also observed that the gaps vary based on the speed and type of the passing/overtaking vehicles and the overtaken/passed vehicles. Therefore, the present study analyzed the implications of different lateral gap models with the help of a cellular automata (CA) based traffic simulation model. The results indicate that, the logistically distributed lateral gap model closely represents the field observed macroscopic traffic relations and the selection of the lateral gap model has a significant impact on the estimated capacities.

在没有车道约束的异构交通流中行驶的车辆与相邻车辆/物体保持一定的横向间隙。这些差距因车辆的静态和动态行为以及驾驶员行为的随机性而有所不同。大多数研究认为横向间隙是恒定的或线性变化的。但是，经验观察表明，逻辑曲线模型可以适当地表示这种行为。此外，还观察到，间隙根据通过/超车和超车/超车的速度和类型而变化。因此，本研究借助基于细胞自动机（CA）的交通仿真模型分析了不同横向间隙模型的含义。结果表明，