Work

Public Transport Ridership Forecasting Using Machine Learning: A Case Study of Rapid Bus KL in Malaysia

Year: 2024

Type: conference-paper

Source: International Conference on Computer and Information Technology (ICCIT)

DOI: 10.1109/iccit64611.2024.11021879

Authors: Abdullah Al Nafees, Mahbub Hassan, Arpita Paul, Saikat Sarkar Shraban, Hridoy Deb Mahin

Institutions: Shahjalal University of Science and Technology, Sylhet Engineering College, Universiti Malaysia Perlis

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

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

Open Access status: closed

OpenAlex ID: W4411172369

FWCI: 5.144

Cites: 16

Cited by: 4

Related to: 10