[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 …

Short-term traffic flow prediction method for urban road sections based on space–time analysis and GRU

G Dai, C Ma, X Xu - IEEE Access, 2019 - ieeexplore.ieee.org
Accurate short-term traffic forecasts help people choose transportation and travel time.
Through the query data, many models for traffic flow prediction have neglected the temporal …

Traffic flow prediction based on combination of support vector machine and data denoising schemes

J Tang, X Chen, Z Hu, F Zong, C Han, L Li - Physica A: Statistical …, 2019 - Elsevier
Traffic flow prediction with high accuracy is definitely considered as one of most important
parts in the Intelligent Transportation Systems. As interfering by some external factors, the …

Data to the people: a review of public and proprietary data for transport models

V Mahajan, N Kuehnel, A Intzevidou… - Transport …, 2022 - Taylor & Francis
Data play an indispensable role in transport modelling. The availability of data from non-
conventional sources, such as mobile phones, social media, and public transport smart …

The impact of aggressive driving behavior on driver‐injury severity at highway‐rail grade crossings accidents

C Ma, W Hao, W Xiang, W Yan - Journal of Advanced …, 2018 - Wiley Online Library
The effect of aggressive driving behavior on driver's injury severity is analyzed by
considering a comprehensive set of variables at highway‐rail grade crossings in the US. In …

Path optimization of taxi carpooling

C Ma, R He, W Zhang - PLoS One, 2018 - journals.plos.org
The problem that passengers are hard to take taxis while empty driving rate is high widely
exists under the traditional taxi operation mode. The implementation of taxi carpooling mode …

Identifying critical nodes in metro network considering topological potential: A case study in Shenzhen city—China

Z Du, J Tang, Y Qi, Y Wang, C Han, Y Yang - Physica A: Statistical …, 2020 - Elsevier
How to identify critical nodes in metro networks is still an open and vital topic in complex
networks, which has been a key issue in analyzing the structural organization of a network …

A decentralised approach to privacy preserving trajectory mining

R Talat, MS Obaidat, M Muzammal, AH Sodhro… - Future generation …, 2020 - Elsevier
Large volumes of mobility data is collected in various application domains. Enterprise
applications are designed on the notion of centralised data control where the proprietary of …

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 …

A hierarchical prediction model for lane-changes based on combination of fuzzy C-means and adaptive neural network

J Tang, S Yu, F Liu, X Chen, H Huang - Expert systems with applications, 2019 - Elsevier
Lane changing behavior generally expresses uncertainty due to the impact of environmental
factors, and unreasonable lane changes can cause serious collisions. High precision …