Abstract
Recently, smart traffic control at intersections became an important issue which has resulted in many researchers investigating intelligent transportation systems using smart vehicles. In particular, the traditional traffic light and trajectory maneuver are inefficient, inflexible and costly. In this work, we improve the distributed inVANETs-based Intersection Traffic Control Algorithm that is developed by Wu et al. (EEE Trans Parallel Distrib Syst 26:65–74, 2015) [2], and we make it more efficient and adaptable to realistic traffic scenarios. The intersection control is purely distributed, and vehicles compete in getting the privilege to pass the intersection via message exchange by using vehicle to vehicle communication (V2V). A proof of correctness is provided that explains how the improved algorithm satisfies the correctness properties of the vehicle mutual exclusion for intersection (VMEI) problem.
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References
Day (1998) Scoot-split, cycle and offset optimization technique. TRB Committee AHB25 Adaptive Traffic Control
Zhao D, Dai Y, Zhang Z (2012) Computational intelligence in urban traffic signal control: a survey. IEEE Trans Syst Man Cybern C Appl Rev 42(4):485–494
Chen X, Shi Z (2002) Real-coded genetic algorithm for signal timings optimization of a signal intersection. In: Proceedings of first international conference on machine learning and cybernetics
Lertworawanich P, Kuwahara M, Miska M (2011) A new multiobjective signal optimization for oversaturated networks. IEEE Trans Intell Transp Syst 12(4):967–976
Bingham E (2001) Reinforcement learning in neurofuzzy traffic signal control. Eur J Oper Res 131:232–241
Srinivasan D, Choy MC, Cheu RL (2006) Neural networks for real-time traffic control system. IEEE Trans Intell Transp Syst 7(3)
Gokulan BP, Srinivasan D (2010) Distributed geometric fuzzy multiagent urban traffic signal control. IEEE Trans Intell Transp Syst 11(3)
Prashanth LA, Bhatnagar S (2011) Reinforcement learning with function approximation for traffic signal control. IEEE Trans Intell Transp Syst 12(2):412–421
Qiao J, Yang ND, Gao J (2011) Two-stage fuzzy logic controller for signalized intersection. IEEE Trans Syst Man Cybern A Syst Humans 41(1):178–184
Zhou B, Cao J, Zeng X, Wu H (2010) Adaptive traffic light control in wireless sensor network-based intelligent transportation system. In: Proceedings of IEEE vehicular technology conference, Fall, Sept 2010
Elhadef M (2015) An adaptable inVANETs-based intersection traffic control algorithm. In: 2015 IEEE international conference on computer and information technology; ubiquitous computing and communications; dependable, autonomic and secure computing; pervasive intelligence and computing, vol 6, pp 2387–2392, Oct 2015
van Arem B, van Driel CJG, Visser R (2006) The impact of cooperative adaptive cruise control on traffic-flow characteristics. IEEE Trans Intell Transp Syst 7(4):429–436
Caudill RJ, Youngblood JN (1976) Intersection merge control in automated transportation systems. Transp Res 10(1):17–24
McGinley FJ (1975) An intersection control strategy for a short-headway P.R.T. network. Transp Plann Technol 3(1):45–53
Dresner K, Stone P (2008) A multiagent approach to autonomous intersection management. J Artif Intell Res 31(1):591–656
Raravi G, Shingde V, Ramamritham K, Bharadia J (2007) Merge algorithms for intelligent vehicles. In: Proceedings of GM R&D workshop, pp 51–65
Milanés V, Pérez J, Onieva E, González C (2010) Controller for urban intersections based on wireless communications and fuzzy logic. IEEE Trans Intell Transp Syst 11(1):243–248
Glaser S, Vanholme B, Mammar S, Gruyer D, Nouveliere L (2010) Maneuver-based trajectory planning for highly autonomous vehicles on real road with traffic and driver interaction. IEEE Trans Intell Transp Syst 11(3):589–606
Lee J, Park B (2012) Development and evaluation of a cooperative vehicle intersection control algorithm under the connected vehicles environment. IEEE Trans Intell Transp Syst 13(1):81–90
Wu WG, Zhang JB, Luo AX, Cao JN (2015) Distributed mutual exclusion algorithms for intersection traffic control. IEEE Trans Parallel Distrib Syst 26:65–74
Nayyar Z, Saqib NA, Khattak MAK, Rafique N (2015) Secure clustering in vehicular ad hoc networks. Int J Adv Comput Sci Appl 6:285–291
Park S, Kim B, Kim Y (2017) Group mutual exclusion algorithm for intersection traffic control of autonomous vehicle. In: International conference on grid, cloud, and cluster computing, pp 55–58
Acknowledgements
This work is supported by ADEC Award for Research Excellence (A2RE) 2015 and Office of Research and Sponsored Programs (ORSP), Abu Dhabi University.
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Saeed, I., Elhadef, M. (2019). A Distributed inVANETs-Based Intersection Traffic Control Algorithm. In: Park, J., Loia, V., Choo, KK., Yi, G. (eds) Advanced Multimedia and Ubiquitous Engineering. MUE FutureTech 2018 2018. Lecture Notes in Electrical Engineering, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-13-1328-8_44
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DOI: https://doi.org/10.1007/978-981-13-1328-8_44
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