Traffic prediction using multifaceted techniques: A survey
Road transportation is the largest and complex nonlinear entity of the traffic management
system. Accurate prediction of traffic-related information is necessary for an effective …
system. Accurate prediction of traffic-related information is necessary for an effective …
Bioinspired computational intelligence and transportation systems: a long road ahead
This paper capitalizes on the increasingly high relevance gained by data-intensive
technologies in the development of intelligent transportation system, which calls for the …
technologies in the development of intelligent transportation system, which calls for the …
Research on travel time prediction model of freeway based on gradient boosting decision tree
To improve the prediction accuracy of traffic flow, a travel time prediction model based on
gradient boosting decision tree (GBDT) is proposed. In order to test the applicability of …
gradient boosting decision tree (GBDT) is proposed. In order to test the applicability of …
Intelligent intersection control for delay optimization: Using meta-heuristic search algorithms
Traffic signal control is an integral component of an intelligent transportation system (ITS)
that play a vital role in alleviating traffic congestion. Poor traffic management and inefficient …
that play a vital role in alleviating traffic congestion. Poor traffic management and inefficient …
On the potential impacts of smart traffic control for delay, fuel energy consumption, and emissions: An NSGA-II-based optimization case study from Dhahran, Saudi …
M Al-Turki, A Jamal, HM Al-Ahmadi, MA Al-Sughaiyer… - Sustainability, 2020 - mdpi.com
Intelligent traffic control at urban intersections is vital to ensure efficient and sustainable
traffic operations. Urban road intersections are hotspots of congestion and traffic accidents …
traffic operations. Urban road intersections are hotspots of congestion and traffic accidents …
Deep learning and case-based reasoning for predictive and adaptive traffic emergency management
An efficient traffic signal control system (TSCS) should not only be reactive to the current
traffic but also be predictive by anticipating future traffic disturbances. In this study, we …
traffic but also be predictive by anticipating future traffic disturbances. In this study, we …
[图书][B] Metaheuristics for traffic control and optimization: Current challenges and prospects
Intelligent traffic control at signalized intersections in urban areas is vital for mitigating
congestion and ensuring sustainable traffic operations. Poor traffic management at road …
congestion and ensuring sustainable traffic operations. Poor traffic management at road …
An open-source framework for adaptive traffic signal control
Sub-optimal control policies in transportation systems negatively impact mobility, the
environment and human health. Developing optimal transportation control systems at the …
environment and human health. Developing optimal transportation control systems at the …
Multi-agent deep neural networks coupled with LQF-MWM algorithm for traffic control and emergency vehicles guidance
Authorities in modern cities are facing daily challenges related to traffic control. Due to the
problem complexity caused by the urbanization growth, investing in developing traffic signal …
problem complexity caused by the urbanization growth, investing in developing traffic signal …
Review of driving-behaviour simulation: VISSIM and artificial intelligence approach
Examining driving behaviour is crucial for traffic operations because of its influence on driver
safety and the potential for increased risk of accidents, injuries, and fatalities. Approximately …
safety and the potential for increased risk of accidents, injuries, and fatalities. Approximately …