A Macroscopic Framework for Modeling Heterogeneous Traffic Flows on Urban Networks
Résumé
This study introduces a flexible macroscopic model for heterogeneous traffic flow on general road networks, allowing the presence of several vehicle classes with general speed functions and different maximal densities pertinent to urban environments. The model, applicable to shared road situations, is designed for describing both creeping phenomena and class-specific lane discipline. Extended to networks, the model addresses the dynamics at general m × n junctions by prescribing suitable coupling conditions. Using the passenger-car-equivalent representation, numerical experiments demonstrate the model's effectiveness in handling different real-life traffic scenarios, each with their complexities. The study focuses on the assessment of total travel time and CO2 emissions in the network, highlighting influences from various factors and traffic management strategies such as route guidance and modal shift. Results show that the model can accurately describe scenarios of congested situations where cyclists navigate past queues of cars and cars overtake queues of trucks.
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