Work

Development of advanced public transportation system with limited infrastructure support

Year: 2022

Type: article

Abstract: An effective public transportation system is vital for socioeconomic development. This paper presents the software for scalable implementation of arrival time prediction, automatic bus-stop detection, and bus crowdedness detection to increase the efficiency of the public transportation system. It utilizes the bus trajectories and crowdsourced commuters’ data. The software can be executed in developing countries where the deployment of Intelligent Transportation System (ITS) infrastructures is limited. The software users can run the code on their data records, modify the code to create their own APTS algorithms and use the provided dataset to validate them.

Source: Software Impacts

DOI: 10.1016/j.simpa.2022.100434

Authors: Pruthvish Rajput, Manish Chaturvedi, Vivek Patel

Institutions: Pandit Deendayal Energy University, Institute of Infrastructure Technology Research and Management

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: $250