• Publications
  • Influence
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
Neural networks have been extensively applied to short-term traffic prediction in the past years. This study proposes a novel architecture of neural networks, Long Short-Term Neural Network (LSTMExpand
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A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting
TLDR
The k-nearest neighbor (KNN) model is an effective statistical model applied in short-term traffic forecasting that can provide reliable data to guide travelers. Expand
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Understanding commuting patterns using transit smart card data
TLDR
A series of data mining methods to identify the spatiotemporal commuting patterns of Beijing public transit riders and confirm the existence of job–house imbalance in Beijing. Expand
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  • PDF
Percolation transition in dynamical traffic network with evolving critical bottlenecks
  • D. Li, B. Fu, +4 authors S. Havlin
  • Geography, Computer Science
  • Proceedings of the National Academy of Sciences
  • 31 December 2014
TLDR
We identify a fundamental mechanism of traffic organization in a network scale as a percolation process, and we show how global traffic breaks down when identified bottlenecks are congested. Expand
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Specification and calibration of a microscopic model for pedestrian dynamic simulation at signalized intersections: A hybrid approach
TLDR
This study proposes a hybrid approach (i.e., route search and social force-based approach) for modeling of pedestrian movement at signalized crosswalks. Expand
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A new car-following model with consideration of inter-vehicle communication
In this paper, we construct a new car-following model with inter-vehicle communication (IVC) to study the driving behavior under an accident. The numerical results show that the proposed model canExpand
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A copula-based approach for estimating the travel time reliability of urban arterial
TLDR
A copula-based approach that incorporates the stochastic characteristics of segments travel time is proposed to model arterial travel time distribution (TTD), which serves as a basis for TTR quantification. Expand
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Mining factors affecting taxi drivers’ incomes using GPS trajectories
Abstract Taxis provide essential transport services in urban areas. In the taxi industry, the income level remains a cause of concern for taxi drivers as well as regulators. Mining underlying factorsExpand
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Vehicle collision warning system and collision detection algorithm based on vehicle infrastructure integration
In view of the high traffic accident rate at intersection, a vehicle trajectory collision warning system based on Vehicle Infrastructure Integration (VII) system is proposed in order to improve theExpand
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An extended car-following model with consideration of the reliability of inter-vehicle communication
Abstract In this paper, we propose a car-following model with consideration of the reliability of inter-vehicle communication (IVC) to study each vehicle’s speed, headway, fuel consumption andExpand
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