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Review of road traffic control strategies
2003
Proceedings of the IEEE
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Traffic congestion in urban road and freeway networks leads to a strong degradation of the network infrastructure and accordingly reduced throughput, which can be countered via suitable control measures ...
road networks, freeway networks, and route guidance. ...
The control measures that are typically employed in freeway networks are the following. • Ramp metering, activated via installation of traffic lights at on-ramps or freeway interchanges. • Link control ...
doi:10.1109/jproc.2003.819610
fatcat:p432om56ybb5lkhvpqiqf476va
Review of road traffic control strategies
2003
Proceedings of the IEEE
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Traffic congestion in urban road and freeway networks leads to a strong degradation of the network infrastructure and accordingly reduced throughput, which can be countered via suitable control measures ...
road networks, freeway networks, and route guidance. ...
The control measures that are typically employed in freeway networks are the following. • Ramp metering, activated via installation of traffic lights at on-ramps or freeway interchanges. • Link control ...
doi:10.1109/jproc.2003.819606
fatcat:w2m6agipbzhuleoj7hmf4q633m
Creating complex congestion patterns via multi-objective optimal freeway traffic control with application to cyber-security
2016
Transportation Research Part B: Methodological
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This article presents a study on freeway networks instrumented with coordinated ramp metering and the ability of such control systems to produce arbitrarily complex congestion patterns within the dynamical ...
The attacks are executed using a predictive, coordinated ramp metering controller based on finite-horizon optimal control and multi-objective optimization techniques. ...
The control scheme employed by the attacker uses finite-horizon optimal control based on the adjoint method for finding optimal metering rates to create a desired disruption via complex congestion patterns ...
doi:10.1016/j.trb.2016.05.017
fatcat:ubsrau7zs5gppkaalvli7songq
Freeway Traffic Management and Control
[chapter]
2009
Encyclopedia of Complexity and Systems Science
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Optimal control has been successfully applied in simulation studies to integrated control of ramp metering and freeway-to-freeway control [68] , to route guidance [48] and to integration of ramp metering ...
Once congestion sets in, ANCONA tries to reestablish free-flow conditions on the freeway by reducing the on-ramp metering rate. ...
doi:10.1007/978-0-387-30440-3_232
fatcat:fpjpvw6fejfvba4abcuo67weai
Integrated network Linear-Quadratic Model Predictive Control for disturbance on freeways
2015
2015 IEEE 12th International Conference on Networking, Sensing and Control
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We propose an integrated approach for dynamic route guidance and ramp metering using Linear Quadratic Model Predictive Control (LQMPC). ...
The main objective is to maximize the throughput of the network by guiding traffic flow towards to insufficiently utilized infrastructures. ...
Here we extend this methodology for freeway route guidance control and ramp metering control. ...
doi:10.1109/icnsc.2015.7116091
dblp:conf/icnsc/HanYH15
fatcat:ihp3sl7rzngm7lmhqlbaghhlc4
Integrated Variable Speed Limits Control and Ramp Metering for Bottleneck Regions on Freeway
2015
Mathematical Problems in Engineering
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This paper proposes a method that integrates variable speed limits and ramp metering for freeway bottleneck region control to relieve the chaos in bottleneck region. ...
as an advanced control strategy that integrates variable speed limits and ramp metering, is developed. ...
Accordingly, a growing number of scholars devote themselves to the study of using other control measures on freeway network to mitigate the congestion in the freeway networks. ...
doi:10.1155/2015/313089
fatcat:koanlhrz5rfzxkjcshnsiaak3y
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network
2019
2019 IEEE Intelligent Transportation Systems Conference (ITSC)
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Ramp metering, a traditional traffic control strategy for conventional vehicles, has been widely deployed around the world since the 1960s. ...
All reviewed literature plot an extensive landscape for the proposed system-wide coordinated ramp control with mixed traffic conditions. ...
It utilizes the traffic signals (green and red phases) installed at on-ramps to regulate the inflow rate to the freeway network. ...
doi:10.1109/itsc.2019.8917158
dblp:conf/itsc/WeiWHB19
fatcat:ng6whh4j25gaviaovf2y7gu5sy
The State-of-the-Art of Coordinated Ramp Control with Mixed Traffic Conditions
2019
2019 IEEE Intelligent Transportation Systems Conference (ITSC)
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Ramp metering, a traditional traffic control strategy for conventional vehicles, has been widely deployed around the world since the 1960s. ...
All reviewed literature plot an extensive landscape for the proposed system-wide coordinated ramp control with mixed traffic conditions. ...
ACKNOWLEDGMENT This study is funded by the National Center for Sustainable Transportation (NCST). ...
doi:10.1109/itsc.2019.8917067
dblp:conf/itsc/ZhaoWWYB19
fatcat:tocg6ophqjghbom6rbli6iusb4
Advanced Traffic Management Systems: An Overview and A Development Strategy
[article]
2018
arXiv
pre-print
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This approach tries to control the traffic actuators in order to create the maximum capacity for network users. ...
Nowadays the problem of traffic congestion is known as the main cause of air pollution in the cities of the world. ...
Freeway
Network
Ramp
Metering
Fixed Time
Mainstream
Control
Lane Control
VSL
Pre-timed
Coordinate Traffic
Responsive
Local
Congestion
Upstream
Congestion
Downstream
Congestion ...
arXiv:1810.02530v1
fatcat:jtqcjefhznfrvc6trreiwk3y6u
Freeway Traffic Density and On-Ramp Queue Control via ILC Approach
2014
Mathematical Problems in Engineering
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A new queue length information fused iterative learning control approach (QLIF-ILC) is presented for freeway traffic ramp metering to achieve a better performance by utilizing the error information of ...
the on-ramp queue length. ...
For better utilization of freeway capacity, ramp metering [2, [4] [5] [6] [7] is a commonly implemented strategy. ...
doi:10.1155/2014/321934
fatcat:qz4qe3sylbemjkn3mxbzeg5nci
Efficient Freeway MPC by Parameterization of ALINEA and a Speed-Limited Area
2018
IEEE transactions on intelligent transportation systems (Print)
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Model predictive control is a promising strategy for the optimization of the ramp metering rates and variable speed limits to improve the freeway throughput. ...
Index Terms-Variable speed limits, ramp metering, freeway management, throughput improvement, model predictive control. ...
ACKNOWLEDGMENT This work is part of the research programme 'The Application of Operations Research in Urban Transport', which is (partly) financed by the Netherlands Organisation for Scientific Research ...
doi:10.1109/tits.2018.2790167
fatcat:ojvpd5jonrg77ffjom64jsqvsi
Modeling and optimal control of travel times and traffic emission on freeways
2011
IFAC Proceedings Volumes
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In this paper a modeling method and a control approach is proposed for minimising both travel times and traffic emission on freeways. ...
Simulations prove that ramp metering can be used to reduce both emission and travel times on motorways. ...
Simulation results In cases of low traffic, effect of ramp metering is also considerable but most spectacular results are obtained when simulating congested traffic. ...
doi:10.3182/20110828-6-it-1002.01958
fatcat:vhmyvkykozhfxpmytbu5ujwkfe
Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning
[article]
2018
arXiv
pre-print
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We test proposed DRL baased DVSL controllers on a simulated freeway recurrent bottleneck. Results show that the efficiency, safety and emissions can be improved by the proposed method. ...
There is an emerging trend of using reinforcement learning technique for VSL control and recent studies have shown promising results. ...
Next, the map is used to generate the traffic network for simulation. It should be noted the traffic network can be any freeway section with on-ramp and/or off-ramps. ...
arXiv:1810.10952v1
fatcat:frrp7s67yrhxheyym7tvd2pywu
Identifying Vehicles Dynamically on Freeway CCTV Images through the YOLO Deep Learning Model
2021
Sensors and materials
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Taiwan's freeways are all equipped with CCTV to monitor realtime road conditions, and all CCTV images are available to the public via the internet. ...
In the future, we will analyze larger amounts of CCTV video streaming data to detect whether a road is congested and even detect the occurrence of traffic accidents. ...
Acknowledgments Our thanks go to Michael Burton of Asia University for English editing. ...
doi:10.18494/sam.2021.3236
fatcat:7pjoledr6bbn7ctqdfswex6rgu
ES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway Traffic Control
[article]
2019
arXiv
pre-print
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In this paper, we propose a deep neuroevolution model, called ES-CTC, to achieve a cooperative control scheme of ramp metering, differential variable speed limits and lane change control agents for improving ...
Cooperative intelligent freeway traffic control is an important application in intelligent transportation systems, which is expected to improve the mobility of freeway networks. ...
The authors would like to thank experienced anonymous reviewers for their constructive and valuable suggestions for improving the overall quality of this paper. ...
arXiv:1905.04083v1
fatcat:s75gkve2djcbzjcrgcryralzca
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