Simulation and Modeling of Automated Road Transport (SMART)
The overall objective of the project is to further develop today's traffic models to enable analysis of future automated transport systems. The project investigates this potential through the development and application of traffic simulation for the analysis of the effects of automation of the transport system. The project consists of two doctoral projects, one aimed at micro-simulation and interaction between manually driven and automated vehicles, and the other aimed at system effects with mesoscopic simulation including means of travel and route selection and alternative modes of transport in future transport networks.
KTH's part of the project examines how fleets of automated vehicles can be shared and coordinated in future public transport systems and how such systems can be evaluated through mesoscopic simulation. Interesting questions include how different levels of demand-driven public transport (e.g. flexible routes and timetables) and various methods for real-time coordination of fleets of automated vehicles affect (i) operating costs, (ii) congestion, travel and waiting times, and (iii) travel and route choice for travelers. Issues investigated include:
- What requirements do simulation of demand-driven public transport imply for mesoscopic traffic simulation models?
- What methods are available for coordinating automated vehicles in demand-driven public transport?
- How does the choice of real-time coordination of shared fleets of automated vehicles affect operating costs and passenger travel costs?
- Under what conditions can demand-driven public transport by automated vehicles be an attractive alternative or complement to line-based public transport?
Period: 2016-04-01 – 2019-09-30
Funder: Swedish Transport Administration through CTR
Project leader: Johan Olstam, VTI
Participants: David Leffler , Wilco Burghout , Oded Cats , Erik Jenelius , and VTI, Linköping University