Machine learning techniques in internet of UAVs for smart cities applications

FA Alqurashi, F Alsolami… - Journal of Intelligent …, 2022 - content.iospress.com
Recently, there were much interest in technology which has emerged greatly to the
development of smart unmanned systems. Internet of UAV (IoUAV) enables an unmanned …

[HTML][HTML] A Random Effect Bayesian Neural Network (RE-BNN) for travel mode choice analysis across multiple regions

Y **a, H Chen, R Zimmermann - Travel behaviour and society, 2023 - Elsevier
Travel mode choice modelling plays a critical role in predicting passengers' travel demand
and planning local transportation systems. Researchers commonly adopt classical Random …

A slack departure strategy for demand responsive transit based on bounded rationality

H Wang, H Guan, H Qin, W Li… - Journal of Advanced …, 2022 - Wiley Online Library
Demand responsive transit (DRT) is emerging as one of the most potential travel modes to
satisfy flexible travel demands. Nevertheless, how to attract more passengers has become a …

A customized deep neural network approach to investigate travel mode choice with interpretable utility information

Z Zhang, C Ji, Y Wang, Y Yang - Journal of Advanced …, 2020 - Wiley Online Library
Discrete choice modeling of travel modes is an essential part of traffic planning and
management. Thus far, this field has been dominated by multinomial logit (MNL) models …

Machine learning approach versus probabilistic approach to model the departure time of non-mandatory trips

A Rasaizadi, I Farzin, F Hafizi - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Unbalanced distribution of trips during the time is one of the factors influencing traffic
congestion at some hours of a day. Identifying the significant factors on travelers' departure …

A Structural Comparison between the Origin‐Destination Matrices Based on Local Windows with Socioeconomic, Land‐Use, and Population Characteristics

S Afandizadeh Zargari, A Memarnejad… - Journal of Advanced …, 2021 - Wiley Online Library
The origin‐destination (OD) matrices express the number and the pattern of trips distributed
between OD pairs. OD matrix structural comparison can be used to identify different mobility …

[HTML][HTML] Modelling time-of-travel preferences capturing correlations between departure times and activity durations

KE Zannat, CF Choudhury, S Hess - … Research Part A: Policy and Practice, 2024 - Elsevier
Departure time choice models quantify the relative impacts of the factors affecting travellers'
departure time selection and help design targeted peak-spreading policies. The departure …

Can Monetary Incentive Regulate Boarding Passenger Distribution on the Metro Station Platform?

J Yu, C Kuai, Y Ji, L Gao - Journal of Advanced Transportation, 2021 - Wiley Online Library
To equilibrate the passenger distribution on the metro platform and carriage, a monetary
incentive policy was explored in this paper; a discount on travel fare was provided to …

Research on the Coordination Model of Passenger Transportation Mode in the Intercity Comprehensive Transportation Corridor

Y Liao - Mathematical Problems in Engineering, 2022 - Wiley Online Library
At present, the study of comprehensive transportation corridors primarily focuses on the
planning and construction of transportation corridors. There are few studies on the …

Paratransit Utility and Mode Choice Modelling: A Review

W Victory, MA Ahmed - Recent Trends in Civil Engineering: Select …, 2022 - Springer
Primary objective of the review is to understand the prevailing paratransit modes and
various mode choice models. This article describes to study and explored the facilitators and …