Parameterized algorithms of fundamental NP-hard problems: a survey
Parameterized computation theory has developed rapidly over the last two decades. In
theoretical computer science, it has attracted considerable attention for its theoretical value …
theoretical computer science, it has attracted considerable attention for its theoretical value …
Traffic state estimation near signalized intersections
The primary goal with which any transportation system is designed is to make efficient use of
the available infrastructure to achieve better level of service (LoS). However, LoS is …
the available infrastructure to achieve better level of service (LoS). However, LoS is …
A review of research on intersection control based on connected vehicles and data-driven intelligent approaches
K Gao, S Huang, J Xie, NN Xiong, R Du - Electronics, 2020 - mdpi.com
Benefiting from the application of vehicle communication networks and new technologies,
such as connected vehicles, video monitoring, automated vehicles and vehicle–road …
such as connected vehicles, video monitoring, automated vehicles and vehicle–road …
A study on correlation of traffic accident tendency with driver characters using in‐depth traffic accident data
Traffic accidents are often related to the driver's driving behavior, which is mainly decided by
his or her characters. In order to explore the correlation of traffic accident risk with driver …
his or her characters. In order to explore the correlation of traffic accident risk with driver …
Queue length estimation from connected vehicles with range measurement sensors at traffic signals
This paper presents a method for queue length estimation from connected vehicles
equipped with range measurement sensors such as light detection and ranging, stereo …
equipped with range measurement sensors such as light detection and ranging, stereo …
Prediction of queue dissipation time for mixed traffic flows with deep learning
Queue dissipation has been extensively studied about traffic signalization, work zone
operations, and ramp metering. Various methods for estimating the intersection's queue …
operations, and ramp metering. Various methods for estimating the intersection's queue …
Dynamical systems approach for queue and delay estimation at signalized intersections under mixed traffic conditions
SP Anusha, L Vanajakshi… - Transportation letters, 2022 - Taylor & Francis
Dynamic prediction of queues and delays at signalized intersections utilize data obtained
from automated traffic sensors as inputs for Intelligent Transportation Systems (ITS) …
from automated traffic sensors as inputs for Intelligent Transportation Systems (ITS) …
Designing a mixed multilayer wavelet neural network for solving ERI inversion problem with massive amounts of data: A hybrid STGWO-GD learning approach
F Jiang, L Dong, Q Dai - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This study aims to develop a novel wavelet neural-network (WNN) model for solving
electrical resistivity imaging (ERI) inversion with massive amounts of measured data in …
electrical resistivity imaging (ERI) inversion with massive amounts of measured data in …
Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi …
With the rapid development of artificial intelligence (AI) and connected vehicle (CV)
technology, researchers are actively exploring the utilization of deep reinforcement learning …
technology, researchers are actively exploring the utilization of deep reinforcement learning …
Assessing the Impact of Different Population Density Scenarios on Two-Wheeler Accident Characteristics at Intersections
Z Wang, L Hu, F Wang, M Lin, N Wu - Sustainability, 2024 - mdpi.com
Examining 1192 intersection car and two-wheeled vehicle collision accidents from the China
In-Depth Accident Study (CIDAS) database, this study employs population density heat …
In-Depth Accident Study (CIDAS) database, this study employs population density heat …