Faculty Publications
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Item A Two-Class Continuum Traffic Flow Model Considering the Disordered Behavior at Nodes(Springer Science and Business Media Deutschland GmbH, 2024) Nair, P.; Abhiram Naidu, M.N.; Sreekumar, M.A peculiar feature of smaller vehicles in multi-class disordered traffic flow is higher maneuverability and lower time of travel. The smaller vehicles can move through the gaps between larger vehicles and reach the downstream end faster. Such features of smaller vehicles contradict traditional concepts of traffic flow such as First In First Out and car following theory. On account of the distinctive features of smaller vehicles in multi-class disordered traffic stream, a macroscopic model is developed for urban corridor incorporating the two-wheeler specific features. The model captures the overtaking and creeping behavior of two-wheelers under congested conditions. The study formulates a multi-class continuum model by combining the link and node model. The link model formulated in this study comprises the fundamental relations of traffic flow with the concept of traversable distance incorporated in the equilibrium speed function to capture the two-wheeler dynamics. The output of the link model is used as input to the nodes, and node model is formulated by defining the supply and demand functions based on the type of intersection. The two-wheeler specific behavior at the intersections is reproduced through the queue formation and dissipation during congestion by simulating the traffic stream under varying external conditions. For this, the study presents four test cases to interpret the typical creeping behavior of two-wheelers at signalized and unsignalized intersections. The difference in class-wise travel time is computed, and it is observed that the travel time and delay of two-wheelers is lesser than that of cars even in congested conditions. The model is also used to demonstrate the typical bus bunching problem at intersections. The study emphasizes on the necessity for an extensive representation of two-wheeler specific features at intersections. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.Item A dynamic traffic assignment framework for policy analysis in cities with significant share of two-wheelers(Elsevier Ltd, 2024) Chapala, S.B.K.; Nair, P.; Sreekumar, M.; Bhavathrathan, B.K.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. © 2023