Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
Browse
2 results
Search Results
Item Dynamic Traffic Assignment Using a Multi-class Continuum Model for Disordered Traffic(Springer Science and Business Media Deutschland GmbH, 2025) Nair, P.; Sreekumar, M.The traffic conditions in urban area consist of different vehicle types, which results in varying traffic dynamics for each vehicle class. The smaller vehicles can overtake larger vehicles and also move through the gaps between larger vehicles to traverse faster. The distinct dynamics of smaller and larger vehicles is a challenge to the traditional traffic assignment models which lack class-specific behavior. The routing of vehicles based on the travel time should capture these class-specific features to have a holistic view regarding typical urban traffic conditions. Traditional traffic assignment methods fail to reproduce conditions such as congestion, queue spill back, and bottleneck regions, thereby resulting in underestimation of real traffic scenarios. This study proposes a multi-class dynamic traffic assignment framework for disordered traffic to overcome the limitations of traditional traffic assignment. The framework is tested for different traffic conditions to deduce the class-specific behavior in multi-class traffic conditions. The results from the dynamic traffic assignment are compared to the traditional traffic assignment to account for the difference in travel time computations. The travel time plots obtained using dynamic traffic assignment shows that the vehicles can overcome low to mild levels of congestion by exhibiting overtaking and creeping behavior. This stands close to real traffic conditions where there is no much change in travel time unless heavy congestion. Thus, study justifies the necessity of class-specific features in travel time computation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.Item Applicability of DTA Framework for Traffic Control and Transport Planning Applications on Networks with Significant Share of Two-Wheelers(Springer Science and Business Media Deutschland GmbH, 2025) Hameed, H.; Minnamreddy, H.K.R.; Nair, P.; Sreekumar, M.Urban traffic comprises of a major proportion of two-wheelers which have greater maneuverability to traverse through congested conditions in disordered traffic. These peculiar features are generally not accounted for in the traffic flow models used in dynamic traffic assignment. The applications pertaining to planning and control operations are highly dependent on the class-specific features of the traffic. Two different applications of dynamic traffic assignment are presented—dynamic wireless charging lane implementation and combined dynamic traffic assignment and control for two-class traffic stream. The results of combined dynamic traffic assignment and control model show that higher split of green times is required for shorter routes with more traffic based on the queue length and clearance time. The proportion of electric two-wheelers was more on the shorter routes and the number of links suitable for dynamic wireless charging lanes was computed for different proportions of electric two-wheelers as thresholds. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.