Understanding urban bus travel time: Statistical analysis and a deep learning prediction

Y Liu, H Zhang, J Jia, B Shi, W Wang - International Journal of …, 2023 - World Scientific
Travel time reliability plays a key role in bus scheduling and service quality. Owing to
various stochastic factors, buses often suffer from traffic congestion, delay and bunching …

Embedded learning approaches in the whale optimizer to solve coverage combinatorial problems

M Becerra-Rozas, F Cisternas-Caneo, B Crawford… - Mathematics, 2022 - mdpi.com
When we face real problems using computational resources, we understand that it is
common to find combinatorial problems in binary domains. Moreover, we have to take into …

Optimising public transit using big data and machine learning

K Lee - 2023 - dr.ntu.edu.sg
Despite decades of research on optimisation of public transit, recent advances in big data
collection and machine learning methods have created new possibilities for further …

Application of gamma models for off-peak dwell time in urban transit routes: a case of study in the Greater Metropolitan Area, Costa Rica.

N Campos-Campos… - Advances in …, 2022 - search.ebscohost.com
The dwell time at bus stops is affected by factors such as the number of passengers, the
method of payment, the configuration of the buses, among others. Therefore, to find the …

[PDF][PDF] Application of gamma models for off-peak dwell time in urban transit routes: a case of study in the Greater Metropolitan Area, Costa Rica

H Hernández Vega, N Campos Campos - 2022 - lanamme.ucr.ac.cr
The dwell time at bus stops is affected by factors such as the number of passengers, the
method of payment, the configuration of the buses, among others. Therefore, to find the …

[引用][C] Solving combinatorial problems with continuous swarm intelligence algorithms using machine learning techniques to select binarization schemes