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Title:

Evaluating Internet of Things (IoT) for Demand Responsive Transit Services

Accession Number:

01629765

Record Type:

Component

Abstract:

An 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 connectivity and alleviating persistent problems of poor performance of various modes of transport. 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). Disutility is defined as the weighted sum of both waiting time and riding time of DRT users. 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 the CnR routes would experience more than 58 percent of disutility decrease if their operations are based on the ‘with e-IoT’ operations. Interlocken would record the largest percentage decrease (74 percent) in disutility if its route service switches from the ‘with d-IoT’ to the ‘with e-IoT’ scenario. This research could be extremely useful for transit managers and policy-makers who have limited understanding of the impact of IoT in improving service quality and ridership numbers for a major transit line being served by DRT-like feeder systems.

Supplemental Notes:

This paper was sponsored by TRB committee ABE60 Standing Committee on Accessible Transportation and Mobility. Alternate title: Evaluating Internet of Things for Demand-Responsive Transit Services

Monograph Accession #:

01618707

Report/Paper Numbers:

17-04942

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Chandra, Shailesh
Galbeno, Luana

Pagination:

17p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Geographic Terms:

Denver (Colorado)

Subject Areas:

Data and Information Technology; Planning and Forecasting; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-04942

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:53AM