High maneuverability of motorized two-wheelers amidst vehicles of bigger size and different dynamics invalidates FIFO to traverse through the gaps between other vehicles for faster mobility. The failure of existing dynamic traffic assignment frameworks with multi-class conditions to capture this behaviour results in inaccurate routing. The study proposes a simulation based two-class dynamic traffic assignment framework comprising of two-wheeler specific behaviour. These features when incorporated in the framework will add to the utility of the traditional dynamic traffic assignment framework in travel time prediction and planning level applications and is therefore relevant to regions with significant share of two-wheelers. The study gives a clear view of the effect of two-wheeler specific features on the route choice behaviour based on the dynamic travel time. The results of the study shows that there occurs an unintentional separation of vehicle classes during congestion; this effect can be utilized for a two-wheeler specific policy implication for congestion management in cities. The proposed framework can be employed in identifying the optimal provision of exclusive two-wheeler lanes. It is also observed that the provision of exclusive lanes may sometimes be counterproductive.

机动两轮车在尺寸较大、动力不同的车辆中具有较高的机动性，使得 FIFO 无法穿过其他车辆之间的间隙以实现更快的移动。现有的具有多类条件的动态流量分配框架无法捕获这种行为，从而导致路由不准确。该研究提出了一种基于模拟的两类动态交通分配框架，其中包括两轮车的特定行为。这些功能合并到框架中后将增加传统动态交通分配框架在出行时间预测和规划级别应用中的效用，因此与两轮车占有率较高的地区相关。该研究清楚地表明了两轮车特定特征对基于动态行驶时间的路线选择行为的影响。研究结果表明，拥堵期间会出现无意的车辆类别分离；这种效应可用于城市拥堵管理的两轮车特定政策含义。所提出的框架可用于确定专用两轮车道的最佳供应。人们还注意到，提供专用车道有时可能会适得其反。