[HTML][HTML] Individual mobility prediction review: Data, problem, method and application

Z Ma, P Zhang - Multimodal transportation, 2022 - Elsevier
The 'sharing'business models and on-demand services have been altering city dwellers'
travel habits from buying the means of transport to buying mobility services based on needs …

Selected aspects of sustainable mobility reveals implementable approaches and conceivable actions

S Chakraborty, NM Kumar, A Jayakumar, SK Dash… - Sustainability, 2021 - mdpi.com
The transportation sector plays a prominent role in driving the economy of any given nation.
However, with the recent tensions arising in and around the transportation sector …

Estimation of traffic energy consumption based on macro-micro modelling with sparse data from Connected and Automated Vehicles

WL Shang, M Zhang, G Wu, L Yang, S Fang… - Applied Energy, 2023 - Elsevier
Traffic energy consumption estimation is significant for the sustainable transportation.
However, it is difficult to directly employ macro traffic flow data to accurately estimate the …

Interactive COVID-19 mobility impact and social distancing analysis platform

L Zhang, A Darzi, S Ghader, ML Pack… - Transportation …, 2023 - journals.sagepub.com
The research team has utilized privacy-protected mobile device location data, integrated
with COVID-19 case data and census population data, to produce a COVID-19 impact …

Innovation diffusion in EV charging location decisions: Integrating demand & supply through market dynamics

X Luo, MJ Kuby, Y Honma, M Kchaou-Boujelben… - … Research Part C …, 2024 - Elsevier
This paper offers a strategic approach to Electric Vehicles (EVs) charging network planning,
emphasizing the integration of demand and supply dynamics. This is accomplished through …

A comparative study on travel mode share, emission, and safety in five Vietnamese Cities

AM Ngoc, H Nishiuchi, N Van Truong… - International Journal of …, 2022 - Springer
Motorcycles dominate current transport activities in Vietnamese cities; however, historical
data show that bikes and public transport were popular as recently as 30 years ago …

[HTML][HTML] Context-aware multi-head self-attentional neural network model for next location prediction

Y Hong, Y Zhang, K Schindler, M Raubal - Transportation Research Part C …, 2023 - Elsevier
Accurate activity location prediction is a crucial component of many mobility applications and
is particularly required to develop personalized, sustainable transportation systems. Despite …

Public or private? Optimal organization for incentive-based travel demand management

J Wu, Y Tian, J Sun, HM Zhang, Y Wang - Transportation Research Part E …, 2023 - Elsevier
Abstract Incentive-Based Travel Demand Management (IBTDM) strategies have received
more attention in recent years as they are more appealing to commuters than penalty-based …

Association of human mobility with road crashes for pandemic-ready safer mobility: A New York City case study

N Dong, J Zhang, X Liu, P Xu, Y Wu, H Wu - Accident Analysis & Prevention, 2022 - Elsevier
Background The COVID-19 pandemic has reshaped our cities in many ways. The number of
motor vehicles on the road has plummeted during lockdowns, and an increasing number of …

Modification of Newell's car-following model incorporating multidimensional stochastic parameters for emission estimation

D Meng, G Song, Y Wu, Z Zhai, L Yu, J Zhang - … Research Part D: Transport …, 2021 - Elsevier
Existing studies have indicated that the vehicle trajectories derived from Newell's car-
following model (NCM) fail to capture driving behavior heterogeneity, resulting in …