Print Email Facebook Twitter Improving the last mile in a public transport trip with automated vehicles using an agent based simulation model: A Delft case study Title Improving the last mile in a public transport trip with automated vehicles using an agent based simulation model: A Delft case study Author Scheltes, A.F. Contributor Homem de Almeida Correia, G. (mentor) Van Arem, B. (mentor) Happee, R. (mentor) Wiggenraad, P.B.L. (mentor) Faculty Civil Engineering and Geosciences Department Transport & Planning Date 2015-12-18 Abstract The last mile in a public transport trip appears to be one of the main deterrents in public transport to be competitive with other modes of transport. The reason for this bad performance of the last mile can be related to the slow and inflexible character of the last mile. Where PRT systems aspire to deliver an on demand, direct service to a passenger, they are bound to fixed separated infrastructure and would therefore face high investment costs for the application of PRT systems on the last mile. As automated vehicles can make use of any kind of road that is available the investment costs are considerably lower. The system presented in this thesis is a last mile transportation service operated by automated vehicles on existing infrastructure. Multiple operational strategies have been simulated using an agent based simulation model in AnyLogic. This simulation model has been applied on the case study Delft Zuid - Technological Innovation campus. For this case study a travel demand survey has been conducted, from which the results serve as one of the main inputs of the simulation model. The outcomes of the simulations indicate that relocating empty vehicles, intermediate charging have a positive effect on the performance of the system on the last mile without compromising any other system performance parameter. Pre-booking of vehicles (via a smartphone app) showed to be very beneficial with regard to the average waiting time for a passenger. However, as vehicles are locked for a longer period the system capacity decreases. The speed of the vehicles appeared one of the main determinants for the energy use of the vehicles and therefore the available system capacity. Speed variations have shown large reductions in the average travel time for a passenger. Subject last mile problemautomated vehiclespublic transportoperation strategiesagent basedsimulation To reference this document use: http://resolver.tudelft.nl/uuid:69af32e0-c8df-45c0-8eaa-ab892d5f8a73 Coordinates 51.99149, 4.36398 Part of collection Student theses Document type master thesis Rights (c) 2015 Scheltes, A.F. Files PDF Webversie_Thesis_AF_Scheltes.pdf 6.39 MB Close viewer /islandora/object/uuid:69af32e0-c8df-45c0-8eaa-ab892d5f8a73/datastream/OBJ/view