Multi-modal traffic signal control with priority, signal actuation and coordination
Both coordinated-actuated signal control systems and signal priority control systems have
been widely deployed for the last few decades. However, these two control systems are …
been widely deployed for the last few decades. However, these two control systems are …
A comparison of machine learning methods for the prediction of traffic speed in urban places
C Bratsas, K Koupidis, JM Salanova… - Sustainability, 2019 - mdpi.com
Rising interest in the field of Intelligent Transportation Systems combined with the increased
availability of collected data allows the study of different methods for prevention of traffic …
availability of collected data allows the study of different methods for prevention of traffic …
Robust control for urban road traffic networks
The aim of the presented research is to elaborate a traffic-responsive optimal signal split
algorithm taking uncertainty into account. The traffic control objective is to minimize the …
algorithm taking uncertainty into account. The traffic control objective is to minimize the …
Increasing the capacity of signalized intersections with left-turn waiting areas
One of the most complex issues for the design of at-grade signalized intersections is
accommodating left-turn (LT) movements, especially when approaches have insufficient …
accommodating left-turn (LT) movements, especially when approaches have insufficient …
Performance evaluation of a hybrid PSO enhanced ANFIS model in prediction of traffic flow of vehicles on freeways: Traffic data evidence from South Africa
In the last few years, there has been a significant rise in the number of private vehicles
ownership, migration of people from rural areas to urban cities, and the rise in the number of …
ownership, migration of people from rural areas to urban cities, and the rise in the number of …
Stochastic programming model for oversaturated intersection signal timing
In large cities, signalized intersections often become oversaturated in rush hours due to
growing traffic demand. If not controlled properly, they may collectively result in serious …
growing traffic demand. If not controlled properly, they may collectively result in serious …
Metaheuristic approach for designing robust traffic signal timings to effectively serve varying traffic demand
Traffic demands at intersections vary across various periods of a day and from day to day.
Generally, fixed time traffic signals are designed considering the average traffic flows across …
Generally, fixed time traffic signals are designed considering the average traffic flows across …
Robust optimization of signal control parameters for unsaturated intersection based on tabu search-artificial bee colony algorithm
W Hao, C Ma, B Moghimi, Y Fan, Z Gao - Ieee Access, 2018 - ieeexplore.ieee.org
In order to overcome the drawback of the conventional signal timing optimization, a robust
optimization algorithm for signal control parameters based on Tabu search-artificial bee …
optimization algorithm for signal control parameters based on Tabu search-artificial bee …
An adaptive-margin support vector regression for short-term traffic flow forecast
D Wei, H Liu - Journal of Intelligent Transportation Systems, 2013 - Taylor & Francis
The day-to-day volatility of traffic series provides valuable information for accurately tracking
the complex characteristics of short-term traffic such as stochastic noise and nonlinearity …
the complex characteristics of short-term traffic such as stochastic noise and nonlinearity …
An artificial immune network to control interrupted flow at a signalized intersection
To monitor and control interrupted flow at signalized intersections, several Traffic Signal
Control Systems (TSCSs) were developed based on optimization and artificial intelligence …
Control Systems (TSCSs) were developed based on optimization and artificial intelligence …