Impact assessment of the Internet of Things on feeder transit performance
Document Type
Journal Article
Publication Date
2018
Subject Area
mode - demand responsive transit, place - north america, place - urban, planning - service quality, ridership - demand, technology - intelligent transport systems
Keywords
Feeder transit, demand responsive transit, cycle length, Internet of Things, service quality, waiting time, riding time
Abstract
Efficient planning for demand responsive transit (DRT) can contribute to fulfilling the first/last mile transport needs for users of a major transit line. With the advancement in communication technologies, the internet is expected to assist this growing need of providing first/last mile connectivity. This is proposed to be achieved through a network created by Internet of Things (IoT). This paper evaluates the effect of implementation of IoT on service quality (or disutility) of DRT for two scenarios – with enabled-IoT (e-IoT) and with disabled-IoT (d-IoT). Data from five different DRT-like systems known as Call-n-Ride (CnR) routes operating in Denver, Colorado, are used for evaluation purposes. These CnR routes are Meridian, Interlocken, South Inverness, Broomfield and Louisville. Results show that, in general, all CnR routes would experience more than a 58 percent decrease in disutility if their operations were based on ‘with e-IoT’ operations. Interlocken would record the largest percentage decrease (74 percent) in disutility if its route service switched from the ‘with d-IoT’ to the ‘with e-IoT’ scenario.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Chandra, S., Naik, R.T. & Galbeno, L. (2018). Impact assessment of the Internet of Things on feeder transit performance. Transportation Planning and Technology, Vol. 41, pp. 830-844.
