Efficient Access Method for Multi-access Edge Servers in Dynamic Map Systems
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Published:2022-01-24
Issue:1
Volume:20
Page:252-265
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ISSN:1348-8503
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Container-title:International Journal of Intelligent Transportation Systems Research
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language:en
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Short-container-title:Int. J. ITS Res.
Author:
Hosono KoheiORCID, Maki Akihiko, Watanabe Yousuke, Takada Hiroaki, Sato Kenya
Abstract
AbstractResearch and development on connected cars equipped with communication functions is being conducted, and dynamic maps are being researched and developed as an information and communication platform for cooperative automatic driving. There is a concern about scalability when dynamic maps are constructed on a cloud server to aggregate a wide range of vehicle information. The problem can be alleviated by deploying edge servers that divide the geographic area where vehicles travel and manage each of them. The IP addresses of the edge servers need to be resolved on the basis of the location information of the moving vehicles. Using TCP improves reliability but reduces efficiency because the vehicles move. In this study, we developed a novel method for accessing edge servers that achieves higher reliability and efficiency by adopting UDP using anycast for transmission from vehicle to edge server and implementing a retransmission function. The effectiveness of this access method was verified by using a vehicle driving simulation.
Funder
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Subject
General Neuroscience,Computer Science Applications,Software,Automotive Engineering,Applied Mathematics,Control and Systems Engineering,Aerospace Engineering,Information Systems
Reference40 articles.
1. Bresson, G., Alsayed, Z., Yu, L., Glaser, S.: Simultaneous localization and mapping: A survey of current trends in autonomous driving. IEEE Transactions on Intelligent Vehicles 2(3), 194–220 (2017) 2. Yoshihiro, S., Keiji, A.: Current activities and some issues on the development of automated driving. Johokanri 57(11), 809–817 (2015) 3. Bengler, K., Dietmayer, K., Farber, B., Maurer, M., Stiller, C., Winner, H.: Three decades of driver assistance systems: Review and future perspectives. IEEE Intelligent Transportation Systems Magazine 6(4), 6–22 (2014) 4. Sivaraman, S., Trivedi, M.M.: Looking at vehicles on the road: A survey of vision-based vehicle detection, tracking, and behavior analysis. IEEE Transactions on Intelligent Transportation Systems 14(4), 1773–1795 (2013) 5. Milanés, V., Shladover, S.E., Spring, J., Nowakowski, C., Kawazoe, H., Nakamura, M.: Cooperative adaptive cruise control in real traffic situations. IEEE Transactions on Intelligent Transportation Systems 15(1), 296–305 (2014)
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