Smart City Gnosys

Smart city article details

Title	Optimization Of Vehicular Networks In Smart Cities: From Agile Optimization To Learnheuristics And Simheuristics
ID_Doc	40685
Authors	Peyman M.; Fluechter T.; Panadero J.; Serrat C.; Xhafa F.; Juan A.A.
Year	2023
Published	Sensors, 23, 1
DOI	http://dx.doi.org/10.3390/s23010499
Abstract	Vehicular ad hoc networks (VANETs) are a fundamental component of intelligent transportation systems in smart cities. With the support of open and real-time data, these networks of inter-connected vehicles constitute an ‘Internet of vehicles’ with the potential to significantly enhance citizens’ mobility and last-mile delivery in urban, peri-urban, and metropolitan areas. However, the proper coordination and logistics of VANETs raise a number of optimization challenges that need to be solved. After reviewing the state of the art on the concepts of VANET optimization and open data in smart cities, this paper discusses some of the most relevant optimization challenges in this area. Since most of the optimization problems are related to the need for real-time solutions or to the consideration of uncertainty and dynamic environments, the paper also discusses how some VANET challenges can be addressed with the use of agile optimization algorithms and the combination of metaheuristics with simulation and machine learning methods. The paper also offers a numerical analysis that measures the impact of using these optimization techniques in some related problems. Our numerical analysis, based on real data from Open Data Barcelona, demonstrates that the constructive heuristic outperforms the random scenario in the CDP combined with vehicular networks, resulting in maximizing the minimum distance between facilities while meeting capacity requirements with the fewest facilities. © 2023 by the authors.
Author Keywords	heuristics; open data; optimization; smart cities; vehicular networks

Similar Articles

Id	Similarity	Authors	Title	Published
33099	0.928	Adelantado F.; Ammouriova M.; Herrera E.; Juan A.A.; Shinde S.S.; Tarchi D.	Internet Of Vehicles And Real-Time Optimization Algorithms: Concepts For Vehicle Networking In Smart Cities	Vehicles, 4, 4 (2022)
60845	0.901	Behura A.; Jain P.K.; Kumar A.	Vanets For Smart Cities: Opportunities And Upcoming Research Directions	Emerging Electrical and Computer Technologies for Smart Cities: Modelling, Solution Techniques and Applications (2024)
4368	0.898	Naresh R.; Narayanan K.L.; Kumar C.N.S.V.; Senthilkumar S.	A Routing In Vanet Towards Smart Business Cities Using Optimization Techniques	Digital Twin Technology and AI Implementations in Future-Focused Businesses (2024)
47103	0.895	Bharathi M.A.; Rajesh I.S.; Maithri C.; Krishnamurthy M.S.	Routing Strategies For Quality Of Service Optimization Over Vehicular Ad Hoc Networks: A Review	Lecture Notes in Networks and Systems, 945 LNNS (2024)
27337	0.89	Soyturk M.; Muhammad K.N.; Avcil M.N.; Kantarci B.; Matthews J.	From Vehicular Networks To Vehicular Clouds In Smart Cities	Smart Cities and Homes: Key Enabling Technologies (2016)
50571	0.884	Wang M.; Mao J.; Zhao W.; Han X.; Li M.; Liao C.; Sun H.; Wang K.	Smart City Transportation: A Vanet Edge Computing Model To Minimize Latency And Delay Utilizing 5G Network	Journal of Grid Computing, 22, 1 (2024)
14919	0.883	Quy V.K.; Nam V.H.; Linh D.M.; Ban N.T.; Han N.D.	Communication Solutions For Vehicle Ad-Hoc Network In Smart Cities Environment: A Comprehensive Survey	Wireless Personal Communications, 122, 3 (2022)
7053	0.882	Singh R.; Kumar R.; Singh A.; Vijay R.; Khan R.L.; Ather D.	Ai-Driven Vanets For Iot-Enabled Transportation Systems	Communications in Computer and Information Science, 2308 CCIS (2025)
60776	0.882	Sharma S.; Bhojannawar S.S.	V2I Communication Coverage Analysis For Vanet: A Case Study For City Of Bengaluru, India	International Conference on Signal Processing and Communication, ICSC, 2025 (2025)
1580	0.881	Sumit; Chhillar R.S.; Dalal S.; Dalal S.; Lilhore U.K.; Samiya S.	A Dynamic And Optimized Routing Approach For Vanet Communication In Smart Cities To Secure Intelligent Transportation System Via A Chaotic Multi-Verse Optimization Algorithm	Cluster Computing, 27, 5 (2024)