Work

Systematic Approach to Analyze Travel Time in Road-Based Mass Transit Systems Based on Data Mining

Year: 2018

Type: article

Abstract: Road-based mass transit systems are an effective means to combat the negative impact of transport that is based on private vehicles. Providing quality of service in this type of transit system is a priority for transport authorities. In these systems, travel time (TT) is a basic factor in quality of service. This paper presents a methodology, based on data mining, for analyzing TT in a mass transit system that is planned by timetable. The objective of the methodology is to understand the behavior patterns of TTs on the different routes of the transport network, as well as the factors that influence these patterns. To achieve this objective, the methodology uses clustering techniques to process the GPS data provided by the vehicles of the public transport fleet. The results that were obtained when implementing this methodology in a public transport company are presented as a use case, demonstrating its validity.

Source: IEEE Access

DOI: 10.1109/access.2018.2837498

Authors: Teresa Cristobal, Gabino Padron, Alexis Quesada-Arencibia, Francisco Alayon, Carmelo R. Garcia

Institution: Universidad de Las Palmas de Gran Canaria

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $2,075