Innovative Applications of Aerial Vehicles in Intelligent Transportation Systems
Explore the exciting use cases and applications of drones in traffic regulation and accident reporting within the realm of Intelligent Transportation Systems (ITS). Discover how UAVs are revolutionizing traffic management through real-time data collection, monitoring, and enforcement activities, enhancing overall road safety and efficiency.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
September 2018 doc.: IEEE 802.11-18/1598r1 Use case for Aerial Vehicle ITS Date: 2018-09-10 Authors: Name Affiliations Address Phone email Sunghyun Hwang ETRI shwang@etri.re.kr Kyumin Kang ETRI kmkang@etri.re.kr Jinsoo Ahn Yonsei Univ. gumgoki@yonsei.ac.kr Hanseul Hong Yonsei Univ. hhs0811@yonsei.ac.kr Ronny Yongho Kim Korea National University of Transportation ronnykim@ut.ac.kr Submission Slide 1 Ronny Yongho Kim, Korea National University of Transportation
September 2018 doc.: IEEE 802.11-18/1598r1 Introduction NGV has adopted several use cases and requirements BSM, Sensor Sharing, Multi-channel operation, Infrastructure application, Vehicular positioning & Location, Automated driving assistance Currently, Aerial Vehicles are being used to regulate traffic Speed violation HOV lane violation etc Aerial Vehicles are anticipated to play an important role in ITS Traffic regulation Accident report Virtual V2X path etc Submission Slide 2 Ronny Yongho Kim, Korea National University of Transportation
September 2018 doc.: IEEE 802.11-18/1598r1 Drones are used and being studied for traffic regulation Korea[1] 2 drones have been deployed to help police officers to expose traffic violations in the Ho-nam Highway during the holiday season 2 drones, a helicopter and police cars cooperated for the mission Canada[2] Drone traffic cop: New research project in Ontario to develop drones as carpooling-lane traffic cop since Nov. 2017 Qatar[3] Drone ITS: a three years R&D project funded by the Qatar National Research Fund (QNRF) since Oct. 2016 Submission Slide 3 Ronny Yongho Kim, Korea National University of Transportation
September 2018 doc.: IEEE 802.11-18/1598r1 Aerial Vehicle Applications in ITS[4][5] Flying Accident Report Agent: One or more UAVs fly to the accident s location to get a detailed report about the accident and send the report in real time and over multi-hop communications to the related authorities. Flying Road-Side Unit Enabled with DSRC, the ITS UAV will be used as a Flying Road Side Unit (FRSU) that can be used to support V2X communications on the ground. Flying Speed Camera The ITS UAVs will be equipped with a miniature speed camera to detect over-speeding vehicles. Submission Slide 4 Ronny Yongho Kim, Korea National University of Transportation
September 2018 doc.: IEEE 802.11-18/1598r1 Aerial Vehicle Applications in ITS Flying Police Eye This application enables a direct communication with a DSRC-enabled police car on the ground to provide the police agent with a top view video streaming to better assess traffic violations. Flying Dynamic Traffic Signal A set of UAVs can be quickly deployed at a congested intersection to organize the traffic. Submission Slide 5 Ronny Yongho Kim, Korea National University of Transportation
September 2018 doc.: IEEE 802.11-18/1598r1 Aerial Vehicle ITS Communication with NGV Limit the scope of Aerial Vehicle Special Aerial Vehicle used for law enforcement or public safety: e.g., Police Drones NGV communication Flying Accident Report Agent: Information relay to other vehicles and data center V2V V2V Accident Information Gathering V2I V2V Submission Slide 6 Ronny Yongho Kim, Korea National University of Transportation
September 2018 doc.: IEEE 802.11-18/1598r1 Aerial Vehicle ITS Communication with NGV V2V V2V Flying Road-Side Unit: Coverage extension of RSU V2I V2V Flying Speed Camera: Speed information can be gathered by flying over vehicles V2V V2V V2V Submission Slide 7 Ronny Yongho Kim, Korea National University of Transportation
September 2018 doc.: IEEE 802.11-18/1598r1 Aerial Vehicle ITS Communication with NGV Flying Police Eye V2V Information Gathering V2I V2I Flying Dynamic Traffic Signal V2V V2I Dynamic Traffic Signal V2I Submission Slide 8 Ronny Yongho Kim, Korea National University of Transportation
September 2018 doc.: IEEE 802.11-18/1598r1 7. Aerial Vehicle ITS Application Overview: Aerial Vehicles provide road safety and traffic violation monitoring functions with LoS connectivity Aerial Vehicles can be deployed flexibly and dynamically to control heavy traffic congestion Requirements: Vehicle to X communication includes Aerial Vehicle to X High Throughput to provide traffic video information from Aerial Vehicles to Authorities (police officers) Multi-Channel operation Short packet transmission latency Limitations: Maintaining channel load Priority control Submission Slide 9 Ronny Yongho Kim, Korea National University of Transportation
September 2018 doc.: IEEE 802.11-18/1598r1 Straw Poll Question: Do you agree to adopt the Aerial Vehicle ITS use case on slide 9 as one of NGV use cases? Y/N/A: Submission Slide 10 Ronny Yongho Kim, Korea National University of Transportation
September 2018 doc.: IEEE 802.11-18/1598r1 References [1] https://www.koreatimes.co.kr/www/tech/2018/05/133_248268.html [2] https://www.fool.com/investing/2017/12/13/nvidias-artificial-intelligence-to-power-a-drone- t.aspx?source=iedfolrf0000001 [3] https://www.qmic.com/solutions/drone-its/ [4] H. Menouar, I. Guvenc, K. Akkaya, A. S. Uluagac, A. Kadri and A. Tuncer, "UAV-Enabled Intelligent Transportation Systems for the Smart City: Applications and Challenges," in IEEE Communications Magazine, March 2017. [5] drone ITS - http://droneits.com/ Submission Slide 11 Ronny Yongho Kim, Korea National University of Transportation
