Publication
Title
Travel time estimation in public transportation using bus location data
Author
Abstract
The user experience of passengers using public transportation is highly sensitive to travel time. In this regard, travel time is a key input to assess the quality of service offered by a public transportation system and to compute performance and service-level metrics. Moreover, travel time is needed to evaluate the accessibility to different opportunities in the city (e.g., employment, commercial activities, education) that can be reached using public transportation. This article presents a data analysis approach to estimate in-vehicle travel time in public transportation systems. Vehicle location data, bus stops locations, bus lines routes, and timetables from the public transportation system in Montevideo, Uruguay, are considered in the case study used to evaluate the proposed approach. Results are compared against scheduled timetables and are used to compute several performance indicators of the public transportation system of the city.
Language
English
Source (book)
Smart Cities : 4th Ibero-American Congress, ICSC-Cities 2021, November 29 - December 1, 2021, Cancún, Mexico
Publication
Cham : 2022
ISSN
1865-0929
1865-0937
ISBN
978-3-030-96752-9
978-3-030-96753-6
DOI
10.1007/978-3-030-96753-6_14
Volume/pages
1555 (2022) , p. 192-206
ISI
000772156800014
Full text (Publisher's DOI)
UAntwerpen
Publication type
Subject
External links
Record
Identifier
Creation 26.03.2024
Last edited 15.10.2024
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