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Research on Adaptive Crossroads Control Model Based on Wireless Sensor Networks
2013
Sensors & Transducers
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Therefore, we propose a new method which is an adaptive crossroads control model based on Wireless Sensor Network, to accurately monitor the traffic flow around the crossroads. ...
Traffic information collection and traffic flow control around the crossroads are main topics of current traffic related research. ...
The information of position is very important in many applications, such as object tracking, traffic management and location based routing. ...
doaj:cd4927d7465c4d639d43b118e3df1d6b
fatcat:mj6qqysuabaa3g2ykxmoskn3my
Implementation of Background Subtraction and Fuzzy Logic Control for Green-Timing Optimization on 3-Junction Traffic Light
2019
JAREE (Journal on Advanced Research in Electrical Engineering)
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This study presents a green-timing optimization simulation on a 3-lane traffic light to reduce the density of the vehicle queue (density) in each lane. ...
Green-timing optimization simulations in this study show a decrease in waiting time in each cycle of timing and a decrease in traffic-density of 44% -45% compared to a fixed-time timing system. ...
Figure 8 below is a 3-way traffic light simulation display. During the simulation data obtained from the comparison of the two timing systems. ...
doaj:92469c4039d14ae4972d035230c9aa3f
fatcat:dcjqqglzlzaktivrjwzgvhagje
Surrogate-assisted cooperative signal optimization for large-scale traffic networks
[article]
2021
arXiv
pre-print
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To evaluate its effectiveness and efficiency, a large-scale traffic network involving crossroads and T-junctions is generated based on a real traffic network. ...
traffic simulations. ...
[14] developed a signal optimization platform by combining a GA with cellular automata-based microscopic simulator. ...
arXiv:2103.02107v1
fatcat:5otzjlzdcbdkle4mjdy5f3vzty
Design of an Optimal ANFIS Traffic Signal Controller by Using Cuckoo Search for an Isolated Intersection
2015
2015 IEEE International Conference on Systems, Man, and Cybernetics
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this work. • Designing a Q-learning controller based on Abdoos et al. [1] research and improving its performance for a single intersection traffic model. ...
fuzzy controller with a predefined rule base, then enhancing to type-1 ANFIS and type-2 ANFIS controller. ...
[59] presented an intelligent traffic light control method based on using NN theory for crossroads. ...
doi:10.1109/smc.2015.363
dblp:conf/smc/AraghiKC15
fatcat:uwxsjl42hfh4ld4vc5z2czeeli
State-of-Art Review of Traffic Light Synchronization for Intelligent Vehicles: Current Status, Challenges, and Emerging Trends
2022
Electronics
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Various traffic signal management systems have been developed to improve the real-time traffic flow at junctions, but none of them have resulted in a smooth and continuous traffic flow for dealing with ...
The effective control and management of traffic at intersections is a challenging issue in the transportation system. ...
., (Cell Transmission Model for Urban Traffic) via simulation. A surrogate method (SM) based on an online and stochastic control scheme has been used to synchronize the traffic signals. ...
doi:10.3390/electronics11030465
fatcat:qao6qxhdubdkpmhbm7zqwyfwvm
Intelligent Traffic Signaling Control Using Petri Nets
2020
Artificial Intelligence Studies
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In this study, application of Petri Nets (PA) based on real data collected at certain times of the day for intelligent control of traffic lights at a four-way intersection. ...
Nowadays, there are situations where traffic control is insufficient in current density due to the traffic system mechanisms being dependent on fixed time. ...
Fuzzy rule-based controllers have proven to be good managers of the traffic light system in different scenarios [8] [9] [10] . ...
doi:10.30855/ais.2020.03.01.01
fatcat:dsrtkh2kevc6hbszvefz2333m4
Forecasting Short-Term Traffic Flow by Fuzzy Wavelet Neural Network with Parameters Optimized by Biogeography-Based Optimization Algorithm
2018
Computational Intelligence and Neuroscience
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This paper proposes a fuzzy wavelet neural network (FWNN) trained by improved biogeography-based optimization (BBO) algorithm for forecasting short-term traffic flow using past traffic data. ...
Forecasting short-term traffic flow is a key task of intelligent transportation systems, which can influence the traveler behaviors and reduce traffic congestion, fuel consumption, and accident risks. ...
Short-term traffic flow forecasts can support proactive transportation management and comprehensive traveler information service. e goal is to predict traffic conditions in a transport network based on ...
doi:10.1155/2018/5469428
pmid:30402084
pmcid:PMC6196985
dblp:journals/cin/ChenLD18
fatcat:3rra2avpy5evtjb7ozf4rkpwzi
Optimization of a complex urban intersection using discrete event simulation and evolutionary algorithms
2014
IFAC Proceedings Volumes
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Dealing with traffic management for complex crossroads is a challenging problem for traffic control planners. ...
As a contribution to solve this problem, the present paper develops a mesoscopic simulation model for detecting the most suited fire plan for a complex road intersection, using a discrete event simulation ...
ACKNOWLEDGEMENTS The traffic simulation model was conceived at ENSGSI Nancy France 5 , and has received the 1st prize in the international simulation tournament organized by FlexSim in 2013 6 . ...
doi:10.3182/20140824-6-za-1003.01072
fatcat:ozsxswajane3laiyo4kjxxy5de
Automated On-Ramp Merging System for Congested Traffic Situations
2011
IEEE transactions on intelligent transportation systems (Print)
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affecting the major road as little as possible; 2) design and development of a valid controller based on fuzzy logic for merging in congested traffic situations; 3) implementation of the whole system ...
A traffic simulation study of how cooperative ACC (CACC) can contribute to reducing traffic congestion is described in [6] . ...
doi:10.1109/tits.2010.2096812
fatcat:i6ztkfrndjgbtejg3uuwjgfare
An Empirical Analysis of Green Technology Innovation and Ecological Efficiency Based on a Greenhouse Evolutionary Ventilation Algorithm Fuzzy-Model
2020
Sustainability
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This paper proposes a Fuzzy Model-Based Quantum Greenhouse Evolutionary Ventilation Algorithm (FM-BSQGEVA) which helps to minimize the CU problem. ...
Here, a few models for the prediction of greenhouse effects are used as a single type of modeling. ...
This paper described the development of a complex and reliable system of traffic management based on fugitive logic. ...
doi:10.3390/su12093886
fatcat:7hclztan4valnoq5chgzwbpbvi
Methodology for Estimating the Effect of Traffic Flow Management on Fuel Consumption and CO2 Production: A Case Study of Celje, Slovenia
2021
Energies
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These values were calculated separately for three different conditions of traffic flow management. ...
a guideline for measuring emission values, as well as by examining specific traffic flow parameters. ...
The research publication [30] presents a novel two-order information-technology-based (namely, Synchro 7 simulation SW) traffic flow management optimization model of a breakdown of time-of-day control ...
doi:10.3390/en14061673
fatcat:vywxsbtj5vggpd5q5pw7kqkhou
Towards Reasoning Vehicles
2017
ACM Computing Surveys
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However, LTE was originally designed for mobile broadband traffic and the requirements for V2X traffic are very different. ...
Fuzzy Logic, known for its ability to deal with complexity, imprecision and model non-deterministic problems, is a very promising technology for use in such a dynamic and complex context. ...
Milanés et al. 0 proposed a FL-based crossroad-traversing system for autonomous cars that aims to improve traffic flow. ...
doi:10.1145/3125640
fatcat:hrlu4xsu3zfhhfmort5ftihjoa
Fuzzy Logic in Traffic Engineering: A Review on Signal Control
2015
Mathematical Problems in Engineering
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This paper aims to provide comprehensive overview of literature on fuzzy control systems used for the management of the road traffic flow at road junctions. ...
In most cases, fuzzy logic controllers provide considerable improvements in the efficiency of traffic junctions' management. ...
Kim, "A fuzzy logic control simulator for adaptive tra c management, " in Proceedings of the th IEEE International Conference on Fuzzy Systems, vol. , pp. ...
doi:10.1155/2015/979160
fatcat:fq6ikilujjhebnvg3vxmiykvs4
Towards Distributed Adaptive Control for Road Traffic Junction Signals using Learning Classifier Systems
[chapter]
2004
Studies in Fuzziness and Soft Computing
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The authors are grateful to Professor Richard Allsop at University College London for his contributions throughout this project, and to Neil Hoose of Bittern Partners and Peter Yendall of Oscar Faber for ...
Simple Road Traffic Network Simulator The initial simulator that was used in the present study represents a small network of four crossroads junctions, each controlled by a separate set of traffic signals ...
Evaluation using a Microscopic Traffic Simulation In order to investigate a range of possibilities for the use of the LCS approach to the signal control of road traffic, a detailed microscopic simulation ...
doi:10.1007/978-3-540-39925-4_12
fatcat:x25ooplqgbgtrkf3srplf2olpi
Applied Metaheuristic Optimization in Asphalt Pavement Management
2021
Ciencia e Ingeniería Neogranadina
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Pavement engineering is a crossroads between geotechnical and transportation engineering with a sound base on construction materials. ...
A substantial amount of research focuses on genetic algorithms (GA), but new developments include particle intelligence (PSO, ACO, and ABC). ...
[21] presented a hybrid methodology using a genetic algorithm as a search technique coupled with a microscopic traffic simulation model to optimize the daily lane closure scheduling in a network for ...
doi:10.18359/rcin.4371
fatcat:yvtls7poszcifh6yurnjcm4lti
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