Traffic flow density model and dynamic traffic congestion model simulation based on practice case with vehicle network and system traffic intelligent communication
The massive increase in the number of vehicles has set a precedent in terms of congestion,
being one of the important factors affecting the flow of traffic, but there are also effects on the …
being one of the important factors affecting the flow of traffic, but there are also effects on the …
Optimal type-2 fuzzy system for arterial traffic signal control
Y Bi, X Lu, Z Sun, D Srinivasan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Arterial traffic is the artery of urban transport and loads huge traffic pressure. In order to
alleviate its traffic pressure effectively, a coordinated arterial traffic type-2 fuzzy logic control …
alleviate its traffic pressure effectively, a coordinated arterial traffic type-2 fuzzy logic control …
Reliability and life evaluation of a DC traction power supply system considering load characteristics
The traction power supply system is one of the most important parts of a railway system,
which is responsible for providing electricity to power the running trains and other operating …
which is responsible for providing electricity to power the running trains and other operating …
Lane-based saturation degree estimation for signalized intersections using travel time data
Saturation degree estimation is a vital problem of signal timing optimization. However,
classic loop-detector-based algorithms are not capable to capture the severity of …
classic loop-detector-based algorithms are not capable to capture the severity of …
Refined path planning for emergency rescue vehicles on congested urban arterial roads via reinforcement learning approach
Fast road emergency response can minimize the losses caused by traffic accidents.
However, emergency rescue on urban arterial roads is faced with the high probability of …
However, emergency rescue on urban arterial roads is faced with the high probability of …
A bi-hierarchical game-theoretic approach for network-wide traffic signal control using trip-based data
Y Zhu, Z He, G Li - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Network-wide traffic signal control (NTSG) is one of the most important factors that impact the
transportation network efficiency. Nevertheless, the NTSG problem still faces some issues …
transportation network efficiency. Nevertheless, the NTSG problem still faces some issues …
A novel emergent intelligence technique for public transport vehicle allocation problem in a dynamic transportation system
Public transport systems in a metropolitan area experiences several complex issues, like
resource scarcity, resource allocation, congestion, resource reliability and so on, due to the …
resource scarcity, resource allocation, congestion, resource reliability and so on, due to the …
Predictive intelligent transportation: Alleviating traffic congestion in the internet of vehicles
Due to the limitations of data transfer technologies, existing studies on urban traffic control
mainly focused on isolated dimension control such as traffic signal control or vehicle route …
mainly focused on isolated dimension control such as traffic signal control or vehicle route …
[HTML][HTML] Connected vehicle-based traffic signal coordination
This study presents a connected vehicles (CVs)-based traffic signal optimization framework
for a coordinated arterial corridor. The signal optimization and coordination problem are first …
for a coordinated arterial corridor. The signal optimization and coordination problem are first …
An adaptive method for traffic signal control based on fuzzy logic with webster and modified webster formula using SUMO traffic simulator
In the past, the Webster optimal cycle time formula was limited to calculate the optimal cycle
from historical data for fixed-time traffic signal control. This paper focuses on the design of an …
from historical data for fixed-time traffic signal control. This paper focuses on the design of an …