A survey of road traffic congestion measures towards a sustainable and resilient transportation system
Traffic congestion is a perpetual problem for the sustainability of transportation development.
Traffic congestion causes delays, inconvenience, and economic losses to drivers, as well as …
Traffic congestion causes delays, inconvenience, and economic losses to drivers, as well as …
[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 …
developments and unprecedented opportunities for scholars who want to set foot in the field …
Deep autoencoder neural networks for short-term traffic congestion prediction of transportation networks
Traffic congestion prediction is critical for implementing intelligent transportation systems for
improving the efficiency and capacity of transportation networks. However, despite its …
improving the efficiency and capacity of transportation networks. However, despite its …
GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model
J Guo, Y Liu, Q Yang, Y Wang… - … A: transport science, 2021 - Taylor & Francis
Traffic congestion prediction in citywide road networks is a challenging research field in
metropolitan transportation operation and management. Recent advances in GPS …
metropolitan transportation operation and management. Recent advances in GPS …
Forecasting current and next trip purpose with social media data and Google places
Trip purpose is crucial to travel behavior modeling and travel demand estimation for
transportation planning and investment decisions. However, the spatial-temporal complexity …
transportation planning and investment decisions. However, the spatial-temporal complexity …
Assessing individual activity-related exposures to traffic congestion using GPS trajectory data
Accurately assessing individual exposures to traffic congestion and traffic-related emissions
is important for evaluating the impact of traffic congestion on human health. Existing studies …
is important for evaluating the impact of traffic congestion on human health. Existing studies …
Characterizing the polycentric spatial structure of Beijing Metropolitan Region using carpooling big data
Polycentric metropolitan regions are a high-level urbanization form characterized with
dynamic layout, fuzzy boundary and various human activity performances. Owing to the …
dynamic layout, fuzzy boundary and various human activity performances. Owing to the …
Development of integrated asset management model for highway facilities based on risk evaluation
Highways are vital infrastructures that play a crucial role in providing social welfare.
Highway structures could experience different types of deterioration (eg pavement ageing …
Highway structures could experience different types of deterioration (eg pavement ageing …
A multiscale-grid-based stacked bidirectional GRU neural network model for predicting traffic speeds of urban expressways
In recent decades, studies on short-term traffic speed forecasting of the large-scale road are
a new challenge for researchers and engineers. Especially based on deep learning neural …
a new challenge for researchers and engineers. Especially based on deep learning neural …
Study on identification and prevention of traffic congestion zones considering resilience-vulnerability of urban transportation systems
X Zhao, L Hu, X Wang, J Wu - Sustainability, 2022 - mdpi.com
In order to solve the problem of urban short-term traffic congestion and temporal and spatial
heterogeneity, it is important to scientifically delineate urban traffic congestion response …
heterogeneity, it is important to scientifically delineate urban traffic congestion response …