TY - GEN
T1 - An Analytical Model for On-Demand Ride Sharing to Evaluate the Impact of Reservation, Detour and Maximum Waiting Time
AU - Bilali, Aledia
AU - Dandl, Florian
AU - Fastenrath, Ulrich
AU - Bogenberger, Klaus
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Ride sharing services have the potential to improve the traffic situation in urban areas. However, a successful implementation of such a service depends on the customers' willingness to share their trip with somebody else, which among other factors depends on service quality factors. A ride sharing service is more attractive to the customers when it is associated with short detour and waiting time. Hence, from an operator perspective these factors constrain the chances to find shareable trips. A reservation-based system might be beneficial to increase these chances. The aim of this paper is to examine the influences of service quality factors on the percentage of trips that could be shared, a quantity named shareability. An analytical model considering the impacts of detour time, maximum waiting time to be picked up and reservation time is developed and validated using simulations. The influence of the reservation time compared to an online service, in which passengers want to be served as soon as possible, is also investigated. A good match of the analytical model with the simulated data is observed for all the factors considered. Introducing a reservation time improves shareability compared to the online service, especially for low trip density and restrictive systems, where waiting time or detour time are low.
AB - Ride sharing services have the potential to improve the traffic situation in urban areas. However, a successful implementation of such a service depends on the customers' willingness to share their trip with somebody else, which among other factors depends on service quality factors. A ride sharing service is more attractive to the customers when it is associated with short detour and waiting time. Hence, from an operator perspective these factors constrain the chances to find shareable trips. A reservation-based system might be beneficial to increase these chances. The aim of this paper is to examine the influences of service quality factors on the percentage of trips that could be shared, a quantity named shareability. An analytical model considering the impacts of detour time, maximum waiting time to be picked up and reservation time is developed and validated using simulations. The influence of the reservation time compared to an online service, in which passengers want to be served as soon as possible, is also investigated. A good match of the analytical model with the simulated data is observed for all the factors considered. Introducing a reservation time improves shareability compared to the online service, especially for low trip density and restrictive systems, where waiting time or detour time are low.
KW - On-demand mobility
KW - Reservation time
KW - Ride sharing
KW - Service quality factors
KW - Shareability
UR - http://www.scopus.com/inward/record.url?scp=85076820922&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2019.8917280
DO - 10.1109/ITSC.2019.8917280
M3 - Conference contribution
AN - SCOPUS:85076820922
T3 - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
SP - 1715
EP - 1720
BT - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Y2 - 27 October 2019 through 30 October 2019
ER -