200 Hits in 3.7 sec

Research on Adaptive Crossroads Control Model Based on Wireless Sensor Networks

Musong GU, Yusong YAN, Yong YANG, Hongwei WANG, Long WEI, Zhen ZUO
2013 Sensors & Transducers  
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

Dharmawan -
2019 JAREE (Journal on Advanced Research in Electrical Engineering)  
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]

Yongsheng Liang, Zhigang Ren, Lin Wang, Hanqing Liu, Wenhao Du
2021 arXiv   pre-print
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

Sahar Araghi, Abbas Khosravi, Doug Creighton
2015 2015 IEEE International Conference on Systems, Man, and Cybernetics  
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

Ishu Tomar, Indu Sreedevi, Neeta Pandey
2022 Electronics  
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  
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

Jeng-Fung Chen, Shih-Kuei Lo, Quang Hung Do
2018 Computational Intelligence and Neuroscience  
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

Adriana Simona Mihăiţă, Mauricio Camargo, Pascal Lhoste
2014 IFAC Proceedings Volumes  
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

Vicente Milanes, Jorge Godoy, Jorge Villagra, Joshué Perez
2011 IEEE transactions on intelligent transportation systems (Print)  
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

Xiumei Xu, Yu Sun, Sujatha Krishnamoorthy, Karthik Chandran
2020 Sustainability  
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

Borut Jereb, Ondrej Stopka, Tomáš Skrúcaný
2021 Energies  
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

Irina Tal, Gabriel-Miro Muntean
2017 ACM Computing Surveys  
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

Milan Koukol, Lenka Zajíčková, Lukáš Marek, Pavel Tuček
2015 Mathematical Problems in Engineering  
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]

L. Bull, J. Sha'Aban, A. Tomlinson, J. D. Addison, B. G. Heydecker
2004 Studies in Fuzziness and Soft Computing  
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

Luis Ricardo Vásquez-Varela, Francisco Javier García-Orozco
2021 Ciencia e Ingeniería Neogranadina  
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
« Previous Showing results 1 — 15 out of 200 results