[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 …

[HTML][HTML] Dynamic graph Convolutional Network-based prediction of the Urban Grid-Level Taxi demand–supply imbalance using GPS trajectories

H Yang, Z Li - ISPRS International Journal of Geo-Information, 2024 - mdpi.com
The objective imbalance between the taxi supply and demand exists in various areas of the
city. Accurately predicting this imbalance helps taxi companies with dispatching, thereby …

[HTML][HTML] 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 …

Applications of passive GPS data to characterize the movement of freight trucks—a case study in the Calgary region of Canada

A Kinjarapu, MG Demissie, L Kattan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The movement of trucks represents a significant portion of travel. Surveys have traditionally
been used to measure truck movement, but this costly and limited data collection method …

Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study

M Stumpe, P Dieter, G Schryen, O Müller… - … Research Part A: Policy …, 2024 - Elsevier
Taxi ridesharing (TRS) systems are considered one means towards more sustainable
transportation by increasing car occupancy rates and thereby significantly improving the …

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 …

[HTML][HTML] Forecasting and Planning Method for Taxi Travel Combining Carbon Emission and Revenue Factors—A Case Study in China

L Yan, B Sheng, Y He, S Lu, J Guo - International Journal of …, 2022 - mdpi.com
The efficiency and emission levels of taxi operations are influenced by taxi drivers' empirical
judgments of hotspot travel areas. In this study, we exploited vehicle specific power (VSP) …

Data-driven pick-up location recommendation for ride-hailing services

Z Liu, H Zhang, G Ouyang, J Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Ride-hailing service (RHS) has become an important transportation mode in our daily life.
Although many works have been proposed to improve RHS from different aspects, only few …

Exploring built environment influence on taxi vacant time in megacities: A case study of Chongqing, China

G Nian, J Huang, D Sun - Journal of Advanced Transportation, 2022 - Wiley Online Library
Driven by the emission peak and carbon neutrality targets, traditional cruising taxis are also
under pressure to reduce emissions, and reducing taxi vacant time is an effective way to …