Work

Bus Dwell Time Modeling Using Gene Expression Programming

Year: 2015

Type: article

Abstract: This article proposes a gene expression programming (GEP)-based approach to model and estimate bus dwell time (BDT) as an alternative to the more commonly used multiple linear regression (MLR) model. The proposed model is calibrated and validated using the data collected from 22 bus stops in Auckland and compared against the MLR model based on five different performance measures namely: mean error, mean absolute error, root mean square error, mean absolute percentage error, and R2 value. The proposed GEP-based approach shows prospects to estimate BDT more accurately and overcome some of the issues associated with the MLR method, including the restrictions to stick with a predefined model form and the need to satisfy assumptions made on multicollinearity, homoscedasticity, and the normality of random error, which are often difficult to satisfy in real world applications.

Source: Computer-Aided Civil and Infrastructure Engineering

DOI: 10.1111/mice.12125

Authors: Soroush Rashidi, Prakash Ranjitkar

Institution: University of Auckland

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

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

Open Access status: hybrid

Estimated APC paid: $5,230