Smart City Gnosys

Smart city article details

Title Survey Of Multiple Destination Route Discovery Protocols
ID_Doc 53760
Authors Ismail R.J.; Ismael S.J.; Amin S.R.M.; Hashim W.A.; Ali I.T.
Year 2024
Published International Journal of Computational and Experimental Science and Engineering, 10, 3
DOI http://dx.doi.org/10.22399/ijcesen.385
Abstract Route discovery protocols for multiple destinations are one of the most interesting research topics since it is applied for real-world applications and is needed in smart city services such as delivery services. The inclusion of artificial intelligence can improve the performance of multiple destination route discovery protocols. In this paper, we studied and analyzed multiple destination route discovery protocols based on different search strategies, especially artificial intelligence methods. The survey compares multiple destination route discovery protocols related to their applications and implementation tools. Important parameters are considered regarding route planning such as the mapping models of multiple destinations and different artificial intelligence search strategies. In this survey route discovery protocols for multiple destinations consider their different goals related to travel time and cost deadlines, moving obstacles, real-time traffic conditions in the city, customer satisfaction, and optimal route. In conclusion, using artificial intelligence can enhance route discovery protocols for multiple destinations compared to traditional search methods. © IJCESEN.
Author Keywords Artificial intelligence; Multiple destinations; Route discovery protocols


Similar Articles


Id Similarity Authors Title Published
38883 View0.857Kumar A.; Batra N.; Mudgal A.; Yadav A.L.Navigating Urban Mobility: A Review Of Ai-Driven Traffic Flow Management In Smart Cities2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2024 (2024)
50444 View0.857Xiao M.; Chen L.; Feng H.; Peng Z.; Long Q.Smart City Public Transportation Route Planning Based On Multi-Objective Optimization: A ReviewArchives of Computational Methods in Engineering, 31, 6 (2024)
53785 View0.854Kakarountas A.; Spathoulas G.; Trivellas P.; Reklitis P.; Malindretos G.Survey On Routing Services For Smart Delivery In Urban EnvironmentsSEEDA-CECNSM 2020 - 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (2020)