[HTML][HTML] A fundamental diagram based hybrid framework for traffic flow estimation and prediction by combining a Markovian model with deep learning
Accurate traffic congestion estimation and prediction are critical building blocks for smart trip
planning and rerouting decisions in transportation systems. Over the decades, there have …
planning and rerouting decisions in transportation systems. Over the decades, there have …
Modelling the pedestrian's willingness to walk on the subway platform: A novel approach to analyze in-vehicle crowd congestion
A common behavior pattern observed on subway platforms is that pedestrians walk
downstairs from the escalator and choose a door to wait for a rail train. Interestingly …
downstairs from the escalator and choose a door to wait for a rail train. Interestingly …
[HTML][HTML] Integrated self-consistent macro-micro traffic flow modeling and calibration framework based on trajectory data
Calibrating microscopic car-following (CF) models is crucial in traffic flow theory as it allows
for accurate reproduction and investigation of traffic behavior and phenomena. Typically, the …
for accurate reproduction and investigation of traffic behavior and phenomena. Typically, the …
[HTML][HTML] An ADMM-based parallel algorithm for solving traffic assignment problem with elastic demand
K Zhang, H Zhang, Y Dong, Y Wu, X Chen - … in Transportation Research, 2023 - Elsevier
Efficiently solving the user equilibrium traffic assignment problem with elastic demand (UE-
TAPED) for transportation networks is a critical problem for transportation studies. Most …
TAPED) for transportation networks is a critical problem for transportation studies. Most …
Using frequency domain analysis to elucidate travel time reliability along congested freeway corridors
Travel time reliability (TTR) is an essential measure of service for traffic performance
management, especially for congested freeway corridors. This paper proposes a systematic …
management, especially for congested freeway corridors. This paper proposes a systematic …
Functional form selection and calibration of macroscopic fundamental diagrams
Macroscopic fundamental diagram (MFD) is widely applied in network-level traffic control
and management with most applications necessitating a well-calibrated MFD. With various …
and management with most applications necessitating a well-calibrated MFD. With various …
Urban traffic flow congestion prediction based on a data-driven model
Intelligent transportation systems need to realize accurate traffic congestion prediction. The
spatio-temporal features of traffic flow are essential to analyze and predict congestion. Our …
spatio-temporal features of traffic flow are essential to analyze and predict congestion. Our …
Analysis of mixed traffic flow with different lane management strategy for connected automated vehicles: A fundamental diagram method
Y Wang, Z Xu, Z Yao, Y Jiang - Expert Systems with Applications, 2024 - Elsevier
This paper proposes a fundamental diagram of the mixed traffic flow for multi-lane road
segments with connected automated vehicles (CAVs) dedicated lanes based on a flexible …
segments with connected automated vehicles (CAVs) dedicated lanes based on a flexible …
A novel ranking method based on semi-SPO for battery swapping allocation optimization in a hybrid electric transit system
The allocation of batteries in hybrid charging stations has consistently played a significant
role in the decision-making process for plug-in charging and battery swapping. Predicting …
role in the decision-making process for plug-in charging and battery swapping. Predicting …
Enhancing reinforcement learning‐based ramp metering performance at freeway uncertain bottlenecks using curriculum learning
Most current RM approaches are developed for fixed bottlenecks. However, the number and
locations of bottlenecks are usually uncertain and even time‐varying due to some …
locations of bottlenecks are usually uncertain and even time‐varying due to some …