A Novel Self-Organizing Approach to Automatic Traffic Light Management System for Road Traffic Network

Traffic network is basically a “ network of networks ” consisting of mainly two types of networks: road network and a travel network. Due to drastic increase in population of vehicles, traffic congestion in metro cities of India is a severe problem. To resolve this use, we have proposed an approach to dynamic and automatic road traffic light management system. The approach is based on arithmetic mean theorem. The input to the control interface of traffic light of proposed approach are six different parameters : velocity of traffic units (v), queue length (l), inter-arrival time between vehicles (t), centrality measures value(c) and predicted value (prdt v) of traffic congestion by historical database and output is level of congestion. On the basis of congestion level, we build inference rules. The proposed approach automatically updates duration of green and red light as per the level of congestion at a particular junction. Proposed approach follows forward reasoning of If–Then rules. A study of this approach is done in this paper on various traffic situations of Delhi, India depending on queue length of vehicles.

[1]  Jaideep Saraswat,et al.  A review of IoT devices for traffic management system , 2017, 2017 International Conference on Intelligent Sustainable Systems (ICISS).

[2]  Jee-Hyong Lee,et al.  Fuzzy controller for intersection group , 1995, Proceedings IEEE Conference on Industrial Automation and Control Emerging Technology Applications.

[3]  Jiuh-Biing Sheu A composite traffic flow modeling approach for incident-responsive network traffic assignment , 2006 .

[4]  Fernando Gomide,et al.  Fuzzy traffic control: adaptive strategies , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

[5]  S. Maniccam,et al.  Adaptive decentralized congestion avoidance in two-dimensional traffic , 2006 .

[6]  Jarkko Niittymäki,et al.  General fuzzy rule base for isolated traffic signal control‐rule formulation , 2001 .

[7]  Chih-Hsun Chou,et al.  A fuzzy logic controller for traffic junction signals , 2002, Inf. Sci..

[8]  Martin Margreiter,et al.  Bluetooth-based Travel Times for Automatic Incident Detection – A Systematic Description of the Characteristics for Traffic Management Purposes , 2016 .

[9]  Sanggil Kang,et al.  Weighted CRI Method for Fuzzy Controller , 2007, ICIC.

[10]  W WEN,et al.  A dynamic and automatic traffic light control expert system for solving the road congestion problem , 2008, Expert Syst. Appl..

[11]  Ella Bingham Reinforcement learning in neurofuzzy traffic signal control , 2001, Eur. J. Oper. Res..

[12]  Mohamed B. Trabia,et al.  A two-stage fuzzy logic controller for traffic signals , 1999 .

[13]  Lei Chen,et al.  Every Second Counts: Integrating Edge Computing and Service Oriented Architecture for Automatic Emergency Management , 2018 .

[14]  Yu-Hern Chang,et al.  TRAFFIC SIGNAL INSTALLATION BY THE EXPERT SYSTEM USING FUZZY SET THEORY FOR INEXACT REASONING , 1993 .

[15]  Shu-Hsien Liao,et al.  Problem solving and knowledge inertia , 2002, Expert Syst. Appl..

[16]  N. Nishizuka,et al.  Fuzzy Logic Phase Controller for Traffic Junctions in the One-way Arterial Road , 1984 .

[17]  Robert F. Stengel,et al.  Principled negotiation between intelligent agents: a model for air traffic management , 1998, Artif. Intell. Eng..

[18]  E. Mamdani,et al.  FUZZY LOGIC CONTROLLER FOR A TRAFFIC JUNCTION , 1977 .

[19]  Gang Li,et al.  Adaptive Traffic Signals Control by Using Fuzzy Logic , 2007, Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007).

[20]  Michel Pasquier,et al.  A novel self-organizing fuzzy rule-based system for modelling traffic flow behaviour , 2009, Expert Syst. Appl..

[21]  Meng Qiang,et al.  RFID based vehicular networks for smart cities , 2013, 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW).

[22]  Shinya Kikuchi,et al.  Application of Fuzzy Logic to the Control of a Pedestrian Crossing Signal , 1998 .

[23]  G. Beauchamp-Baez,et al.  A fuzzy logic based phase controller for traffic control , 1997, Proceedings of 6th International Fuzzy Systems Conference.

[24]  Jurij Kotikov,et al.  Classification Investigations of Traffic Management Schemes Having Conflict Loading at the Signal-controlled Road Junctions ☆ , 2017 .

[25]  Jarkko Niittymäki,et al.  Traffic signal controller based on fuzzy logic , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

[26]  Lin Zhang,et al.  Signal Control for Oversaturated Intersections Using Fuzzy Logic , 2008 .

[27]  Wei-bin Zhang,et al.  Anti-Congestion Fuzzy Algorithm for Traffic Control of a Class of Traffic Networks , 2007 .

[28]  Wu Wei,et al.  Traffic signal control using fuzzy logic and MOGA , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

[29]  Manju Khari,et al.  A Novel Method for Test Path Prioritization using Centrality Measures , 2016, Int. J. Open Source Softw. Process..

[30]  Xu Yang,et al.  Simulation studies of information propagation in a self-organizing distributed traffic information system , 2005 .

[31]  Amita Jain,et al.  Fuzzy Hindi WordNet and Word Sense Disambiguation Using Fuzzy Graph Connectivity Measures , 2015, TALLIP.

[32]  Keith R. Bisset,et al.  Simulation of traffic flow and control using fuzzy and conventional methods , 1993 .

[33]  Liping Xia,et al.  Modelling of traffic flow and air pollution emission with application to Hong Kong Island , 2005, Environ. Model. Softw..

[34]  David M. Auslander,et al.  FREEWAY RAMP CONTROL USING FUZZY SET THEORY FOR INEXACT REASONING , 1990 .

[35]  Yetis Sazi Murat,et al.  A FUZZY LOGIC MULTI-PHASED SIGNAL CONTROL MODEL FOR ISOLATED JUNCTIONS , 2005 .

[36]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[37]  C. P. Pappis,et al.  A Fuzzy Logic Controller for a Trafc Junction , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[38]  Peter Thomas,et al.  Traffic signal control using fuzzy logic and evolutionary algorithms , 2007, 2007 IEEE Congress on Evolutionary Computation.