Path Prediction Optimization and Secure Traffic Management Using VANET
There has been a significant growth in the number of private automobiles in the previous decade as a result of technological advancements and changes in people’s lifestyles. This creates a major problem of congestion main reason being the transportation infrastructure’s inadequately construction and...
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| Published in | Procedia computer science Vol. 235; pp. 2394 - 2404 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier B.V
2024
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| Abstract | There has been a significant growth in the number of private automobiles in the previous decade as a result of technological advancements and changes in people’s lifestyles. This creates a major problem of congestion main reason being the transportation infrastructure’s inadequately construction and maintenance, which is the case in most major cities. By broadcasting the vehicle’s current location and surroundings in real time to other adjacent cars and roadside devices, VANETs may help alleviate traffic congestion by using intelligent algorithms to anticipate and avoid potential bottlenecks on the route. This can also be used to predict the shortest path from initial location to destination making it easy for the drivers in the choosing the right path. To implement all these functionalities, we need a robust and secure communication channel and also an intelligent and complex algorithm. Our aim is to predict a lane with least probability of accidents and find the shortest path with least travelling time and congestion. This keeps the user informed regarding the surrounding scenario’s and makes more coordinated, safer, and optimal use of transport networks. |
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| AbstractList | There has been a significant growth in the number of private automobiles in the previous decade as a result of technological advancements and changes in people’s lifestyles. This creates a major problem of congestion main reason being the transportation infrastructure’s inadequately construction and maintenance, which is the case in most major cities. By broadcasting the vehicle’s current location and surroundings in real time to other adjacent cars and roadside devices, VANETs may help alleviate traffic congestion by using intelligent algorithms to anticipate and avoid potential bottlenecks on the route. This can also be used to predict the shortest path from initial location to destination making it easy for the drivers in the choosing the right path. To implement all these functionalities, we need a robust and secure communication channel and also an intelligent and complex algorithm. Our aim is to predict a lane with least probability of accidents and find the shortest path with least travelling time and congestion. This keeps the user informed regarding the surrounding scenario’s and makes more coordinated, safer, and optimal use of transport networks. |
| Author | R, Rajkumar Akilan, Y R, Sohna AM, Amogh Saish, Pavan Masih, Jolly |
| Author_xml | – sequence: 1 givenname: Y surname: Akilan fullname: Akilan, Y organization: VIT Vellore, Katpadi, Vellore, TamilNadu 632014, India – sequence: 2 givenname: Sohna surname: R fullname: R, Sohna organization: VIT Vellore, Katpadi, Vellore, TamilNadu 632014, India – sequence: 3 givenname: Amogh surname: AM fullname: AM, Amogh organization: VIT Vellore, Katpadi, Vellore, TamilNadu 632014, India – sequence: 4 givenname: Pavan surname: Saish fullname: Saish, Pavan organization: VIT Vellore, Katpadi, Vellore, TamilNadu 632014, India – sequence: 5 givenname: Rajkumar surname: R fullname: R, Rajkumar organization: VIT Vellore, Katpadi, Vellore, TamilNadu 632014, India – sequence: 6 givenname: Jolly surname: Masih fullname: Masih, Jolly organization: BML Munjal University, Kapriwas, Haryana 122413, India |
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| Cites_doi | 10.1109/CCDC49329.2020.9164825 10.1109/ICPECTS49113.2020.9337057 10.1109/DCOSS.2019.00104 10.1109/TVT.2018.2806979 10.1109/ICAIBD.2019.8837020 10.1109/TVT.2018.2886010 10.1109/TIFS.2018.2885277 10.1109/ACCESS.2019.2919973 10.14419/ijet.v7i1.2.9037 10.1109/ICOEI51242.2021.9452915 10.1109/ICIEM51511.2021.9445337 10.1007/s11277-018-5839-6 10.1016/j.procs.2019.04.165 10.1109/SCIOT50840.2020.9250198 10.1016/j.comcom.2020.05.027 10.1109/VTCFall.2018.8690643 10.1109/IWCMC.2018.8450287 10.1109/IWCMC.2019.8766717 10.1109/SMC42975.2020.9283122 10.1109/RTEICT49044.2020.9315602 10.1007/978-981-10-8636-6_3 10.1016/j.vehcom.2020.100278 10.1088/1757-899X/1119/1/012021 10.1109/ICAMMAET.2017.8186749 |
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| Keywords | VANET Traffic congestion |
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| References_xml | – volume: 102 start-page: 275 year: 2018 end-page: 292 ident: bib2682 article-title: A Performance Evaluation of Location Prediction PositionBased Routing Using Real GPS Traces for VANET publication-title: Wireless Pers Commun – reference: S. Shendekar, S. Thorat and D. Rojatkar, "Traffic Accident Prediction Techniques in Vehicular Ad-hoc Network: A Survey," 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), 2021, pp. 652-656, doi: 10.1109/ICOEI51242.2021.9452915. 47 – reference: Wagh, Mukund & Gomathi, N.. (2017). Shared intelligent optimum route selection through traffic management system in VANET– SIRS. International Journal of Engineering & Technology. 7. 125. 10.14419/ijet.v7i1.2.9037. – reference: Ghassan Samara,Lane prediction optimization in VANET, Egyptian Informatics Journal,2020“ ISSN 1110- 8665, – reference: Thiago S. Gomides, Robson E. De Grande, Allan M. de Souza, Fernanda S.H. Souza, Leandro A. Villas, Daniel L. Guidoni, An adaptive and Distributed Traffic Management System using Vehicular Ad-hoc Networks,Computer Communications,Volume 159,2020,Pages 317-330,ISSN 0140-3664, – reference: M. Bhuvaneswari, V. Jyothirbindhu and B. Paramasivan, "Statistical adaptive heuristic model supported driver intended destination and path prediction algorithm for vehicular ad hoc network," 2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET), 2017, pp. 1-6, doi: 10.1109/ICAMMAET.2017.8186749. – reference: T. S. Gomides, R. E. De Grande, F. S. H. Souza and D. L. Guidoni, "A Traffic Management System to Minimize Vehicle Congestion in Smart Cities," 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, pp. 1439- 1444, doi: 10.1109/SMC42975.2020.9283122. – reference: X. Wang et al., "Optimizing Content Dissemination for Real-Time Traffic Management in Large-Scale Internet of Vehicle Systems," in IEEE Transactions on Vehicular Technology, vol. 68, no. 2, pp. 1093-1105, Feb. 2019, doi: 10.1109/TVT.2018.2886010 – reference: M. A. Alazzawi, H. Lu, A. A. Yassin and K. Chen, "Efficient Conditional Anonymity With Message Integrity and Authentication in a Vehicular Ad-Hoc Network," in IEEE Access, vol. 7, pp. 71424-71435, 2019, doi: 10.1109/ACCESS.2019.2919973. – reference: Badreddine Cherkaoui, Abderrahim Beni-Hssane, Mohamed El Fissaoui, Mohammed Erritali,Road traffic congestion detection in VANET networks, Procedia Computer Science,Volume 151,2019,Pages 1158-1163,ISSN 1877-0509, – reference: Osama Rehman, Rehan Qureshi, Mohamed Ould-Khaoua, Moazzam Fareed Niazi, Analysis of mobility speed impact on end- to-end communication performance in VANETs, Vehicular Communications,Volume 26,2020,100278,ISSN 2214-2096, – reference: H. Zhao, H. Cheng, T. Mao and C. He, "Research on Traffic Accident Prediction Model Based on Convolutional Neural Networks in VANET," 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD), 2019, pp. 79-84, doi: 10.1109/ICAIBD.2019.8837020. – reference: D. Nan, A. Maria, M. Xianghua, Nasibullah and D. Wu, "Mandatory Lane Change Strategy in VANET Based on Coordinated Stackelberg Game Model," 2020 Chinese Control And Decision Conference (CCDC), 2020, pp. 1895-1900, doi: 10.1109/CCDC49329.2020.9164825. – reference: Kannadhasan, S., Shanmuganantham, M., & Nagarajan, R. (2021). System Model of VANET using Optimization-Based Efficient Routing Algorithm. IOP Conference Series: Materials Science and Engineering, 1119(1), 012021. – reference: P. Kohli, S. Sharma and P. Matta, "Security Challenges, Applications and Vehicular Authentication Methods in VANET For Smart Traffic Management," 2021 2nd International Conference on Intelligent Engineering and Management (ICIEM), 2021, pp. 327-332, doi: 10.1109/ICIEM51511.2021.9445337. – reference: P. Ramkumar, R. Uma, S. Usha and R. Valarmathi, "Real Time Path Planning using Intelligent Transportation System for Hybrid VANET," 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), 2020, pp. 1-7, doi: 10.1109/ICPECTS49113.2020.9337057. – reference: Y. Wang, Y. Ding, Q. Wu, Y. Wei, B. Qin and H. Wang, "Privacy-Preserving CloudBased Road Condition Monitoring With Source Authentication in VANETs," in IEEE Transactions on Information Forensics and Security, vol. 14, no. 7, pp. 1779-1790, July 2019, doi: 10.1109/TIFS.2018.2885277. – reference: P. Soleimani, M. R. B. Marvasti and P. Ghorbanzadeh, "A Hybrid Traffic Management Method Based on Combination of IOV and VANET Network in Urban Routing for Emergency Vehicles," 2020 4th International Conference on Smart City, Internet of Things and Applications (SCIOT), 2020, pp. 58-65, doi: 10.1109/SCIOT50840.2020.9250198. – reference: M. A. Ameddah, B. Das and J. Almhana, "Priority based Algorithm for Traffic Intersections Streaming Using VANET," 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), 2018, pp. 898-903, doi: 10.1109/IWCMC.2018.8450287. – reference: Sumi L., Ranga V. (2018) An IoT-VANET-Based Traffic Management System for Emergency Vehicles in a Smart City. In: Sa P., Bakshi S., Hatzilygeroudis I., Sahoo M. (eds) 45 Recent Findings in Intelligent Computing Techniques. Advances in Intelligent Systems and Computing, vol 708. Springer, Singapore. – reference: . – reference: A. Mejdoubi, H. Fouchal, O. Zytoune and M. Ouadou, "A Distributed Predictive Road Traffic Management System in Urban VANETs," 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), 2019, pp. 37-42, doi: 10.1109/IWCMC.2019.8766717. – reference: L. Wang, R. F. Iida and A. M. Wyglinski, "Coordinated Lane Changing Using V2V Communications," 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 2018, pp. 1-5, doi: 10.1109/VTCFall.2018.8690643. – reference: T. S. Gomides, M. L. Fernandes, F. Sumika Hojo de Souza, L. Villas and D. L. Guidoni, "FIRE-NRD: A Fully-Distributed and Vanets-Based Traffic Management System for Next Road Decision," 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2019, pp. 554-561, doi: 10.1109/DCOSS.2019.00104. – reference: S. Shirabur, S. Hunagund and S. Murgd, "VANET Based Embedded Traffic Control System," 2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), 2020, pp. 189-192, doi: 10.1109/RTEICT49044.2020.9315602. – reference: C. Guo, D. Li, G. Zhang and M. Zhai, "Real-Time Path Planning in Urban Area via VANET-Assisted Traffic Information Sharing," in IEEE Transactions on Vehicular Technology, vol. 67, no. 7, pp. 5635-5649, July 2018, doi: 10.1109/TVT.2018.2806979. – ident: 10.1016/j.procs.2024.04.227_bib2696 doi: 10.1109/CCDC49329.2020.9164825 – ident: 10.1016/j.procs.2024.04.227_bib2698 doi: 10.1109/ICPECTS49113.2020.9337057 – ident: 10.1016/j.procs.2024.04.227_bib2689 doi: 10.1109/DCOSS.2019.00104 – ident: 10.1016/j.procs.2024.04.227_bib2680 doi: 10.1109/TVT.2018.2806979 – ident: 10.1016/j.procs.2024.04.227_bib2686 doi: 10.1109/ICAIBD.2019.8837020 – ident: 10.1016/j.procs.2024.04.227_bib2693 doi: 10.1109/TVT.2018.2886010 – ident: 10.1016/j.procs.2024.04.227_bib2685 doi: 10.1109/TIFS.2018.2885277 – ident: 10.1016/j.procs.2024.04.227_bib2687 doi: 10.1109/ACCESS.2019.2919973 – ident: 10.1016/j.procs.2024.04.227_bib2683 doi: 10.14419/ijet.v7i1.2.9037 – ident: 10.1016/j.procs.2024.04.227_bib2701 doi: 10.1109/ICOEI51242.2021.9452915 – ident: 10.1016/j.procs.2024.04.227_bib2699 doi: 10.1109/ICIEM51511.2021.9445337 – volume: 102 start-page: 275 year: 2018 ident: 10.1016/j.procs.2024.04.227_bib2682 article-title: A Performance Evaluation of Location Prediction PositionBased Routing Using Real GPS Traces for VANET publication-title: Wireless Pers Commun doi: 10.1007/s11277-018-5839-6 – ident: 10.1016/j.procs.2024.04.227_bib2688 doi: 10.1016/j.procs.2019.04.165 – ident: 10.1016/j.procs.2024.04.227_bib2695 doi: 10.1109/SCIOT50840.2020.9250198 – ident: 10.1016/j.procs.2024.04.227_bib2694 doi: 10.1016/j.comcom.2020.05.027 – ident: 10.1016/j.procs.2024.04.227_bib2679 doi: 10.1109/VTCFall.2018.8690643 – ident: 10.1016/j.procs.2024.04.227_bib2678 doi: 10.1109/IWCMC.2018.8450287 – ident: 10.1016/j.procs.2024.04.227_bib2690 doi: 10.1109/IWCMC.2019.8766717 – ident: 10.1016/j.procs.2024.04.227_bib2700 doi: 10.1109/SMC42975.2020.9283122 – ident: 10.1016/j.procs.2024.04.227_bib2697 doi: 10.1109/RTEICT49044.2020.9315602 – ident: 10.1016/j.procs.2024.04.227_bib2681 doi: 10.1007/978-981-10-8636-6_3 – ident: 10.1016/j.procs.2024.04.227_bib2692 doi: 10.1016/j.vehcom.2020.100278 – ident: 10.1016/j.procs.2024.04.227_bib2702 doi: 10.1088/1757-899X/1119/1/012021 – ident: 10.1016/j.procs.2024.04.227_bib2684 doi: 10.1109/ICAMMAET.2017.8186749 – ident: 10.1016/j.procs.2024.04.227_bib2691 |
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