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2684. Traffic Distribution for Sustainable Intercity Corridors: A Mixed Conventional and eCAV Scenario
Invited abstract in session TC-56: Advancing mobility towards sustainable solutions I, stream Transportation.
Tuesday, 12:30-14:00Room: S04 (building: 101)
Authors (first author is the speaker)
1. | Jorge Bandeira
|
University of Aveiro | |
2. | Luis Pereira
|
University of Aveiro | |
3. | Eloisa Macedo
|
Department of Mechanical Engineering, University of Aveiro |
Abstract
In the scope of the EMBRACER Project, the study explores integration of connectivity and automation in transport, emphasizing the challenges of managing the coexistence of conventional vehicles and connected and automated vehicles (CAVs). Optimising traffic flow in a mixed environment (different vehicle classes, automation levels, propulsion technologies, and kinematics) is crucial to realize the full potential of CAVs. Intercity corridors, with parallel routes, offer a controlled environment to examine the complex interplay of traffic flow, demand, network capacity, and demand management strategies.
The study explores how optimising traffic distribution across parallel inter-urban routes can reduce travel time and environmental impacts, considering current traffic scenario and projecting effects of a 30% penetration of electric CAVs. The study employs field data (traffic volume, fleet composition, travel time, GPS data), microscopic traffic modeling to simulate existing conditions and incremental demand, and VSP methodology for emissions modeling. External costs are monetized based on greenhouse gas emissions and air pollution, enabling multi-objective optimisation.
Results show a nonlinear impact of CAV integration, with benefits influenced by route characteristics and traffic demand. While widespread electric vehicle adoption significantly reduces emissions, optimised traffic distribution is essential for minimising traffic-related externalities in intercity corridors.
Keywords
- Simulation
- Transportation
- Environmental Management
Status: accepted
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