[HTML][HTML] Estimation of truck origin-destination flows using GPS data

MG Demissie, L Kattan - Transportation Research Part E: Logistics and …, 2022 - Elsevier
Large trucking vehicles have a comparatively more significant impact on safety, traffic
congestion, pollution, and pavement wear than passenger vehicles. Appropriate planning …

Estimating intercity heavy truck mobility flows using the deep gravity framework

Y Yang, B Jia, XY Yan, Y Chen, D Song, D Zhi… - … Research Part E …, 2023 - Elsevier
Accurate estimation of intercity heavy truck mobility flows is of vital importance to urban
planning, transportation management and logistics operations. The inaccessibility of big …

Predicting spatiotemporal demand of dockless e-scooter sharing services with a masked fully convolutional network

S Phithakkitnukooon, K Patanukhom… - … International Journal of …, 2021 - mdpi.com
Dockless electric scooters (e-scooter) have emerged as a green alternative to automobiles
and a solution to the first-and last-mile problems. Demand anticipation, or being able to …

[HTML][HTML] Freight trip distribution using spatiotemporal aggregate data: A modified collective flow diffusion model-based approach

T Kawasaki, Y Namba, H Oka… - Transportation Research …, 2023 - Elsevier
The estimation of freight trip distribution is an important issue in freight transport studies, and
collecting data on the spatiotemporal aggregated number of freight vehicles without trip …

Exploring the distance decay in port hinterlands under port regionalization using truck GPS data

Z He, P Zhao, Z Xiao, X Huang, Z Li, T Kang - Transportation Research Part …, 2024 - Elsevier
Ports are pivotal in the socioeconomic development of regions, countries, and cities as they
serve as gateways for the transportation of goods between sea and land. Analyses of port …

Estimation of stops of last-mile delivery vehicles: An application in the food industry in the city of Santiago de Chile

F Basso, M Núñez, G Paredes-Belmar, R Pezoa… - Journal of Transport …, 2024 - Elsevier
The study of vehicle stops in last-mile delivery has gained ground in the specialized logistics
literature. An efficient last-mile delivery reduces distribution costs and mitigates negative …

Understanding the temporal and spatial interactions between transit ridership and urban land-use patterns: an exploratory study

MG Demissie, L Kattan - Public Transport, 2022 - Springer
The land-use characteristics of urban areas continually change, and thus the activity
patterns of the significant trip generators evolve. Efficient public transit planning needs to …

G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data

S Para, T Wirotsasithon, T Jundee, MG Demissie… - Public Transport, 2024 - Springer
Public transit agencies have amassed substantial data through on-board and off-board
sensors over the years. While data collection was the primary focus, there is now a shift …

Deep Learning Approach to Logistics Trips Generation: Enhancing Pseudo People Flow with Agent-Based Modeling

K Zhang, Y Pang, Y Sekimoto - 2023 IEEE 26th International …, 2023 - ieeexplore.ieee.org
This study developed a new trip generation strategy to simulate the trajectories of logistics
trips. An agent-based modeling framework was employed. We considered logistics drivers …

Origin-Destination Demand Prediction for Shared Mobility Service Using Fully Convolutional Neural Network

S Phithakkitnukoon, K Patanukhom… - Available at SSRN … - papers.ssrn.com
Emerging on-demand shared mobility services face the difficulty of effectively balancing
demand. Influx of these mobility services urges for more precise prediction of origin …