Results 11 to 20 of about 34,991 (266)
Traffic optimization based on a macroscopic fundamental diagram in urban bizonal system
Вестник СибАДИ, 2022 Introduction. The article considers the possibility of forming a traffic optimization strategy based on a macroscopic fundamental diagram between urban areas.
H. Jiang
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Coordinated ramp signal optimization framework based on time series flux-correlation analysis [PDF]
PeerJ Computer Science, 2021 Urban expressways provide an effective solution to traffic congestion, and ramp signal optimization can ensure the efficiency of expressway traffic. The existing methods are mainly based on the static spatial distance between mainline and ramp to achieve
Zhi Liu +3 more
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Simulation and optimization of traffic in a city [PDF]
IEEE Intelligent Vehicles Symposium, 2004, 2004 Optimal traffic light control is a multi-agent decision problem, for which we propose to use reinforcement learning algorithms. Our algorithm learns the expected waiting times of cars for red and green lights at each intersection, and sets the traffic lights to green for the configuration maximizing individual car gains.
Wiering, M.A. +3 more
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Optimal Transport in Multilayer Networks for Traffic Flow Optimization [PDF]
Algorithms, 2021 Modeling traffic distribution and extracting optimal flows in multilayer networks is of the utmost importance to design efficient, multi-modal network infrastructures. Recent results based on optimal transport theory provide powerful and computationally efficient methods to address this problem, but they are mainly focused on modeling single-layer ...
Abdullahi Adinoyi Ibrahim +2 more
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Traffic Signal Control Using Hybrid Action Space Deep Reinforcement Learning
Sensors, 2021 Recent research works on intelligent traffic signal control (TSC) have been mainly focused on leveraging deep reinforcement learning (DRL) due to its proven capability and performance. DRL-based traffic signal control frameworks belong to either discrete
Salah Bouktif +2 more
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Optimal Seeds Discovery of Traffic Congestions [PDF]
2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW), 2020 With the rapid adoption of wireless sensor networks (WSNs) into smart cities and vehicle networks, traffic problems can be evaluated and predicted in real-time. In this paper, we propose a data-driven approach to find out the most influential causes of traffic congestions.
Bermejo, C. (Carlos) +3 more
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Proactive Coordination of Traffic Guidance and Signal Control for a Divergent Network
Mathematics, 2023 In the realm of transportation system optimization, enhancing overall performance through the proactive coordination of traffic guidance and signal control in a divergent network can tackle the challenges posed by traffic congestion and inefficiency ...
Yaming Guo +3 more
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Traffic Flow Optimization on Roundabouts [PDF]
Procedia - Social and Behavioral Sciences, 2014 The aim of this article is to propose an optimization strategy for traffic flowon roundabouts using amacroscopic approach. The roundabout is modeled as a sequence of 2 × 2 junctions with one main lane and secondary incoming and outgoing roads. We consider two cost functionals: the total travel time and the total waiting time, which give an estimate of ...
Obsu, Legesse Lemecha +3 more
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Optimization of Quality of Experience for video traffic [PDF]
2015 22nd International Conference on Telecommunications (ICT), 2015 <div>The rapid shift toward video on-demand and real time information systems has affected mobile as well as wired networks. The research community has placed a strong focus on optimizing the Quality of Experience (QoE) of video traffic, mainly because video is popular among Internet users.
qahhar muhammad qadir +2 more
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Dividing the Traffic Matrix to Approach Optimal Traffic Engineering [PDF]
2006 14th IEEE International Conference on Networks, 2006 In this paper we propose a new method to approach optimal Traffic Engineering routing. The method consists of dividing the traffic matrix into N sub-matrices, called strata, and route each of these independently. We propose two di erent implementations of our method in routers.
Balon, Simon, Leduc, Guy
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