ECOINTELS · The Economics of the Intelligent Transportation Services
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2018-12-01 → 2020-11-30
- EU contribution
- €171,461
- Participants
- 1
- Scheme
- MSCA-IF-EF-ST
Lines connect the coordinator with its partners.
Results in brief
The Economics of the Intelligent Transportation Services
Technological advancements have enabled new flexible and demand-responsive transportation services, whose significance on both urban and rural transportation systems have been increased rapidly due to the successful transport network companies such as Uber and Lyft and due to innovative public transportation operators developing automated demand-responsive services with public-private-partnerships. At the same time, there has been also increasing interest in these services in several academic disciplines. Recently, research has focused on modelling these services and related pricing policies, and on developing algorithms for optimal vehicle routing and demand management for improving passenger experience and sustainability of the new transport services. The overall objective of the project was to achieve deeper understanding on the economics of the intelligent transportation services by extending the economic models of the automated demand responsive transportation (DRT) and by analyzing potential socio-economic impacts of the new transportation services.
Data: CORDIS, © European Union
Project objective
Technological advancements have enabled new flexible and demand-responsive transportation services, whose significance on both urban and rural transportation systems have been increased rapidly due to the successful transport network companies such as Uber and Lyft and due to innovative public transportation operators developing automated demand-responsive services with public-private-partnerships. At the same time, there has been also increasing interest in these services in several academic disciplines like operations research, transportation economics and computer science. Recently, research has focused on modelling these services and related pricing policies, and on developing algorithms for optimal vehicle routing and demand management.During the fellowship period, the object is to achieve deeper understanding on the economics of the intelligent transportation services by extending the economic models of the automated demand responsive transportation and by adopting recently developed simulation models of the Max-Planck Institute, which utilize trip origin-destination data collected in Germany, South-Africa and elsewhere.
Original text from CORDIS.
Participants
- MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV · MUNCHENCoordinatorGermany
Links
Data: CORDIS, © European Union