High-Fidelity Modeling of Curbside Driving Behavior in SUMO: Preprint

Conference · Tue Nov 01 04:00:00 EDT 2022

OSTI ID:1897226

Wang, Qichao; Severino, Joseph; Ugirumurera, Juliette; Phillips, Caleb

Recent advances in mobility technologies have considerably increased the need for curbside use and congestion at curb-lanes. At airports and in dense urban centers, the growing adoption of Transportation Network Companies (TNCs), such as Uber and Lyft, has led to an increase in curbside traffic due to the reduction in the use public transit and other shared modes. In dense city areas, the curbside demand and congestion were further augmented by the growing use of e-commerce, which requires home-delivery of goods. To model vehicles' curbside interactions realistically, there is a need for high-fidelity simulation models that can represent the complex interplay of vehicles as they complete pick-up or drop-off trips. Vehicles' curbside behaviors are usually not modeled with high-fidelity in microscopic simulators such Simulation of Urban of Mobility (SUMO). This paper presents such a high-resolution model for vehicle curbside behavior in SUMO, using SUMO's Traci interface. Simulations results demonstrate that the improved curbside behavior captures vehicles' curbside maneuvering more accurately than the default SUMO curbside model, and increases the curbside utilization and capacity.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1897226
• Report Number(s): NREL/CP-2C00-80870; MainId:78648; UUID:3563eef2-2817-4530-92a5-0933da064e55; MainAdminID:67893
• Country of Publication: United States
• Language: English

Related Subjects

ADVANCED PROPULSION SYSTEMS
curbside
simulation
traffic