[HTML][HTML] Research on the big data of traditional taxi and online car-hailing: A systematic review

T Lyu, PS Wang, Y Gao, Y Wang - Journal of Traffic and Transportation …, 2021 - Elsevier
The purpose of this paper is to provide a summary of a quick overview of the latest
developments and unprecedented opportunities for scholars who want to set foot in the field …

Traffic flow prediction by an ensemble framework with data denoising and deep learning model

X Chen, H Chen, Y Yang, H Wu, W Zhang… - Physica A: Statistical …, 2021 - Elsevier
Accurate traffic flow data is important for traffic flow state estimation, real-time traffic
management and control, etc. Raw traffic flow data collected from inductive detectors may be …

Demand prediction for a public bike sharing program based on spatio-temporal graph convolutional networks

G Xiao, R Wang, C Zhang, A Ni - Multimedia Tools and Applications, 2021 - Springer
The operation of public bike sharing (PBS) programs has attracted attention again due to
numerous problems encountered by free-floating bike sharing programs. These problems …

Exploring influence mechanism of bikesharing on the use of public transportation—A case of Shanghai

G Xiao, Y Xiao, A Ni, C Zhang, F Zong - Transportation Letters, 2023 - Taylor & Francis
Given the vital role of public transportation in major cities, understanding the influence
mechanism of bikesharing use on public transportation is necessary. In this study, we adopt …

Trip destination prediction based on multi-day GPS data

F Zong, Y Tian, Y He, J Tang, J Lv - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
This study presents a model system for trip destination prediction with multi-day GPS data.
The pre-trip destination prediction model and the during-trip destination prediction model …

Uncovering the spatiotemporal patterns of traffic congestion from large-scale trajectory data: A complex network approach

J Zeng, Y Xiong, F Liu, J Ye, J Tang - Physica A: Statistical Mechanics and …, 2022 - Elsevier
Understanding the spatiotemporal characteristics of traffic congestion is the cornerstone of
generating traffic management and control strategies. Based on the large-scale taxi …

Space-time dynamics of cab drivers' stay behaviors and their relationships with built environment characteristics

P Zhao, Y Xu, X Liu, MP Kwan - Cities, 2020 - Elsevier
Understanding cab drivers' stay activities is essential for planning and managing certain
urban facilities. This study analyzes cab drivers' stay behaviors using a taxi GPS trajectory …

Visual ship tracking via a hybrid kernelized correlation filter and anomaly cleansing framework

X Chen, X Xu, Y Yang, Y Huang, J Chen, Y Yan - Applied Ocean Research, 2021 - Elsevier
Ship tracking from maritime visual sensing data (namely maritime surveillance videos)
provides various kinematic maritime traffic information, which significantly benefits remote …

Understanding detour behavior in taxi services: A combined approach

X Feng, H Sun, J Wu, Y Lv, D Zhi - Transportation Research Part C …, 2022 - Elsevier
Taxi is one of the most important ways for citizens' daily travel, but taxi service faces a typical
problem that greedy drivers may deliberately take unnecessary detours to overcharge …

Revealing urban traffic demand by constructing dynamic networks with taxi trajectory data

H Zhang, L Zhang, F Che, J Jia, B Shi - IEEE Access, 2020 - ieeexplore.ieee.org
As a crucial travel mode, taxi plays a significant role in residents' daily travel. Uncovering taxi
traffic demand has become a hotspot in transport studies. Previous researchers pay more …