Abstract
Pooled on-demand services promise to provide a convenient mobility experience and increase efficiency of road transport. We apply an established ride-pooling algorithm within the simulation framework MATSim to an autonomous fleet serving almost 2 million requests in Munich. Two mode choice scenarios are implemented, one substituting all car trips by ride-pooling, another one with free mode choice. For both scenarios we compare a stop-based and a door-to-door service in terms of system efficiency and noise imissions, applying an updated noise prediction model in MATSim. The results contribute to the systematic analysis of ride-pooling and show the effects of the proposed policies and service designs, which are essential for an efficient system with low noise exposure. Replacing all car trips by a stop-based ride-pooling system leads to a drastic noise reduction in residential areas whereas door-to-door systems may even increase noise exposure due to additional pick-up/drop-off rides and detours.
| Original language | English |
|---|---|
| Article number | 102673 |
| Journal | Transportation Research Part D: Transport and Environment |
| Volume | 90 |
| DOIs | |
| State | Published - Jan 2021 |
Keywords
- Emerging mobility
- MATSim
- Noise model
- Pooled on-demand mobility
- Ride-sharing
- Shared autonomous vehicles
- Traffic noise