Proceedings of the 4th Symposium on Management of Future Motorway and Urban Traffic Systems 2022

Morey, Emily J.; Wilson, R. S.; Galvin, K.P. · 2022 · OpenAlex-citations

DOI: 10.25368/2023.91

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Summary

The provided text is the proceedings volume for the 4th Symposium on Management of Future Motorway and Urban Traffic Systems (MFTS 2022), held in Dresden. The symposium addressed the dual challenges of sustainable transport and increasing urbanization, alongside opportunities presented by Intelligent Transportation Systems (ITS), connected and automated vehicles (CAVs), and shared mobility. The central theme was "Cooperative Management of Multimodal Traffic," aiming to foster collaboration among public authorities, operators, industry, and academia to optimize efficiency, safety, and sustainability. The volume includes a preface detailing the event’s scope, keynote presentations on multimodal active traffic management and macroscopic fundamental diagrams, and a table of contents listing 45 presentations across sessions on CAVs, new mobility systems, traffic flow simulation, and demand management. The text provides full details for two specific research papers included in the proceedings. The first paper, by Bozzi et al., proposes a hierarchical two-level control scheme for truck platoons on freeways to improve travel time, comfort, and safety. The methodology utilizes a Micro-Macro METANET model to represent traffic conditions and a high-level PI-based controller to compute reference speeds that minimize time spent in congested areas. This reference speed is passed to a low-level Linear Quadratic Tracking controller, which determines optimal accelerations for individual trucks to maintain safe inter-vehicular distances. The study simulated four platoons of five trucks each on a 20 km freeway stretch with a lane drop. Results indicated that the control scheme successfully maintained optimal inter-vehicle distances and followed desired speed profiles. Performance metrics showed reductions in time spent in congestion for three of the four platoons (improvements of 5.3% to 9.4%) and improved speed smoothness, demonstrating the scheme's effectiveness in managing platoon dynamics amidst traffic disruptions. The second paper, by Faros et al., introduces a lateral positioning strategy for CAVs in lane-free traffic environments. The research addresses the limitation of previous optimal control formulations that discouraged lateral movement. The proposed strategy maps a vehicle’s longitudinal desired speed to a lateral desired position based on the premise that faster vehicles drive farther left. This mapping updates the lateral desired speed in real-time within a nonlinear Optimal Control Problem framework, prioritizing collision avoidance while encouraging lateral distribution to improve traffic flow. The methodology was tested via simulations on a 1 km lane-free ring-road using the TrafficFluid-Sim extension of SUMO. The study evaluated average flows and lateral position errors across various traffic densities. The findings suggest that distributing vehicles laterally according to their speed preferences can enhance longitudinal speeds and overall traffic flow, particularly at under-critical densities, offering a viable approach for future lane-free CAV traffic management.

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• mental model of traffic