Impact assessment of the Internet of Things on feeder transit performance. Issue 8 (17th November 2018)

• Record Type: Journal Article
• Authors: Chandra, Shailesh; Naik, R. Thirumaleswara; Galbeno, Luana
• Is Part Of: Transportation planning and technology. Volume 41:Issue 8(2018)
• Page Start: 830
• Page End: 844
• Publication Date: 2018-11-17
• Subjects: Feeder transit -- demand responsive transit -- cycle length -- Internet of Things -- service quality -- waiting time -- riding time; Transportation -- Periodicals; Transportation -- Research -- Periodicals; Local transit -- Periodicals; Transportation and state -- Periodicals; 388
• DOI: 10.1080/03081060.2018.1526896
• Languages: English
• ISSNs: 0308-1060

Abstract

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.