Abstract
Public transit, specially the bus, are usually considered unreliable as arrival times do not often match with the scheduled times. Current journey planners do not take this uncertainty into account, for example do not account for the risk of missing a transfer and of delays due to traffic conditions. This paper deals with analytics for building a multi modal journey planner, by estimating arrival and travel times for a certain trip involving transfers, and taking into account the delay of buses and risk of missing connections. We develop a system to compute probability distributions of end-to-end travel times, taking into account uncertain departure, travel and transfer times. We tested the system using real historical data for the whole bus system in Dublin, and showed the uncertainty of scheduled travel times with respect to the stochasticity of real traffic conditions. This is a first step towards building an uncertainty-aware multi-modal journey planner.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
