[HTML][HTML] Hybrid perimeter control with real-time partitions in heterogeneous urban networks: An integration of deep learning and MPC
Network-wide perimeter control strategies have been shown promise in recent years. These
perimeter control strategies are mostly based on networks with fixed boundaries. However …
perimeter control strategies are mostly based on networks with fixed boundaries. However …
Demand prediction for a public bike sharing program based on spatio-temporal graph convolutional networks
G ** countries such as Indonesia. Their number has been …
Assessing temporal–spatial characteristics of urban travel behaviors from multiday smart-card data
The rail transit has difficulties in meeting daily travel needs of passengers owing to a large
population and accelerating urbanization. Analyzing urban travel behaviors with big data …
population and accelerating urbanization. Analyzing urban travel behaviors with big data …
Exploring urban travel patterns using density-based clustering with multi-attributes from large-scaled vehicle trajectories
J Tang, W Bi, F Liu, W Zhang - Physica A: Statistical Mechanics and its …, 2021 - Elsevier
Extracting travel patterns from large-scaled vehicle trajectories is the key step to analyze
urban travel characteristics, which can also provide effective strategies for urban traffic …
urban travel characteristics, which can also provide effective strategies for urban traffic …
Understanding parking decisions with structural equation modeling
F Zong, P Yu, J Tang, X Sun - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
Abstract Analysis of parking behavior and the mechanism of parking decisions is essential
for balancing the spatial–temporal distribution of parking and formulating parking …
for balancing the spatial–temporal distribution of parking and formulating parking …
Evaluating crisis perturbations on urban mobility using adaptive reinforcement learning
The objective of this study is to propose and test an adaptive reinforcement learning model
that can learn the patterns of human mobility in a normal context and simulate the mobility …
that can learn the patterns of human mobility in a normal context and simulate the mobility …
Markov Chains based route travel time estimation considering link spatio-temporal correlation
Travel time is a critical measure for road network traffic conditions, and travel time estimation
provides available information for travellers and traffic management. This paper proposes an …
provides available information for travellers and traffic management. This paper proposes an …
Short-term traffic flow prediction considering spatio-temporal correlation: A hybrid model combing type-2 fuzzy C-means and artificial neural network
J Tang, L Li, Z Hu, F Liu - Ieee Access, 2019 - ieeexplore.ieee.org
Traffic flow prediction is a key step to the efficient operation in the intelligent transportation
systems. This paper proposes a hybrid method combing clustering methods and …
systems. This paper proposes a hybrid method combing clustering methods and …