This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Connected UAV and CAV Coordination for Improved Road Network Safety and Mobility
Technical Paper
2021-01-0173
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Event:
SAE WCX Digital Summit
Language:
English
Abstract
Having connectivity among ground vehicles brings about benefits in fuel economy improvement, traffic mobility enhancement and undesired emission reductions. On the other hand, Unmanned Aerial Vehicles (UAV) have proven to help in getting aerial data to end users in an affordable manner. When UAVs are equipped with cameras, they can get information about the terrain they are flying over. Moreover, using Vehicle-to-Everything (V2X) communication technologies, it is possible to form a communication link between UAVs and the connected ground vehicle networks comprising of Connected and Autonomous vehicles (CAVs). To investigate and exploit the potential benefits and use cases of a broad vehicle network, a microscopic traffic simulator modified previously by our group with the addition of nearby UAVs is used to integrate simulated Connected UAVs flying above a realistic simulation of heterogeneous traffic flow containing both CAVs and non-CAVs. Use case scenarios are defined, where the Connected UAVs in the simulation environment have soft cameras on them that are used to observe traffic patterns when hovering over intersections and to detect abnormalities in the traffic flow when flying over a highway. The information gathered by the Connected UAVs, such as average vehicle speed in the intersection, speed limit on a road segment, queue location and advisory speed are then broadcasted to be picked up by CAVs. The performance of the CAVs in fuel economy and traffic mobility are then analyzed between the baseline case of no UAV communication and the case where Connected UAVs were present. It is seen that having Connected UAVs can help to increase mobility of the nearby road network. Encouraged by the simulation study, a hardware implementation is also investigated and a DSRC based communication architecture is set up between a CAV platform and a Connected UAV. Preliminary tests between the CAV and Connected UAV show that package losses may be an issue in the DSRC communication and optimal antenna configuration for least package loss in the data transfer improves the reliability of DSRC communication between a ground and an aerial vehicle. A 4G internet WebSocket server-based communication architecture is proposed and preliminary testing is reported in an effort to increase the communication range beyond that of DSRC communication, at the expense of slightly increased latency.
Authors
Topic
Citation
Kavas-Torris, O., Gelbal, S., Cantas, M., Aksun Guvenc, B. et al., "Connected UAV and CAV Coordination for Improved Road Network Safety and Mobility," SAE Technical Paper 2021-01-0173, 2021, https://doi.org/10.4271/2021-01-0173.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Unnamed Dataset 1 | ||
| Unnamed Dataset 2 | ||
| Unnamed Dataset 3 |
Also In
References
- Yang , Y. et al. Cooperative Ecological Cruising Using Hierarchical Control Strategy with Optimal Sustainable Performance for Connected Automated Vehicles on Varying Road Conditions Journal of Cleaner Production 123056 2020 10.1016/j.jclepro.2020.123056
- Zhai , C. , Luo , F. , Liu , Y. , and Chen , Z. Ecological Cooperative Look-Ahead Control for Automated Vehicles Travelling on Freeways with Varying Slopes IEEE Transactions on Vehicular Technology 68 2 1208 1221 2019 10.1109/TVT.2018.2886221
- Kavas-Torris , O. , Cantas , M.R. , Gelbal , S.Y. , and Guvenc , L. Performance Evaluation of the Pass-at-Green (PaG) Connected Vehicle V2I Application SAE Technical Paper 2020-01-1380 2020 https://doi.org/10.4271/2020-01-1380
- Xu , Y. , Li , H. , Liu , H. , Rodgers , M.O. et al. Eco-driving for Transit: An Effective Strategy to Conserve Fuel and Emissions Applied Energy 194 784 797 May 2017 10.1016/j.apenergy.2016.09.101
- Boyali , A. and Güvenç , L. Real-Time Controller Design for a Parallel Hybrid Electric Vehicle Using Neuro-dynamic Programming Method 2010 IEEE International Conference on Systems, Man and Cybernetics 2010 4318 4324 10.1109/ICSMC.2010.5641785
- Kavas-Torris , O. , Cantas , M.R. , Cime , K.M. , Guvenc , B.A. et al. The Effects of Varying Penetration Rates of L4-L5 Autonomous Vehicles on Fuel Efficiency and Mobility of Traffic Networks SAE Technical Paper 2020-01-0137 2020 https://doi.org/10.4271/2020-01-0137
- Lackey , N. 2019
- van der Merwe , D. , Burchfield , D.R. , Witt , T.D. , Price , K.P. et al. Chapter One: Drones in Agriculture Advances in Agronomy 162 Sparks , D.L. Academic Press 2020 1 30
- Chung , S.H. , Sah , B. , and Lee , J. Optimization for Drone and Drone-truck Combined Operations: A Review of the State of the Art and Future Directions Computers & Operations Research 123 105004 2020 10.1016/j.cor.2020.105004
- Macrina , G. , Di Puglia Pugliese , L. , Guerriero , F. , and Laporte , G. Drone-aided Routing: A Literature Review Transportation Research Part C: Emerging Technologies 120 102762 2020 10.1016/j.trc.2020.102762
- Colomina , I. , and Molina , P. Unmanned Aerial Systems for Photogrammetry and Remote Sensing: A Review ISPRS Journal of Photogrammetry and Remote Sensing 92 79 97 2014 10.1016/j.isprsjprs.2014.02.013
- Kellermann , R. , Biehle , T. , and Fischer , L. Drones for Parcel and Passenger Transportation: A Literature Review Transportation Research Interdisciplinary Perspectives 4 100088 2020 10.1016/j.trip.2019.100088
- Kavas , O. and Gurocak , H. Haptic Interface with Linear Magnetorheological (MR) Brakes for Drone Control 2018 15th International Conference on Ubiquitous Robots (UR) 2018 676 681 10.1109/URAI.2018.8441784
- Coifman , B. , McCord , M. , Mishalani , R.G. , and Redmill , K. Surface Transportation Surveillance from Unmanned Aerial Vehicles the Proceedings of the 83rd Annual Meeting of the Transportation Research Board Washington, DC 2004 https://www.researchgate.net/publication/229091496_Surface_Transportation_Surveillance_from_Unmanned_Aerial_Vehicles
- Merwaday , A. and Guvenc , I. UAV Assisted Heterogeneous Networks for Public Safety Communications 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) 2015 329 334 10.1109/WCNCW.2015.7122576
- Cheng , P. , Zhou , G. , and Zheng , Z.
- Menouar , H. , Guvenc , I. , Akkaya , K. , Uluagac , A.S. et al. UAV-Enabled Intelligent Transportation Systems for the Smart City: Applications and Challenges IEEE Communications Magazine 55 3 22 28 2017 10.1109/MCOM.2017.1600238CM
- Chakrabarty , A. , Ippolito , C.A. , Baculi , J. , Krishnakumar , K.S. et al. Vehicle to Vehicle (V2V) Communication for Collision Avoidance for Multi-copters Flying in UTM ?TCL4 AIAA Scitech 2019 Forum 2019
- Dowd , G. , Kavas-Torris , O. , Guvenc , L. , and Aksun-Guvenc , B. Simulation Environment for Visualizing Connected Ground and Air Traffic - Garrett Dowd, Ozgenur Kavas-Torris, Levent Guvenc, Bilin Aksun-Guvenc, 2020 Transportation Research Record Oct. 2020 http://journals.sagepub.com/doi/10.1177/0361198120962485
- Wu , X. et al. Vehicular Communications Using DSRC: Challenges, Enhancements, and Evolution IEEE Journal on Selected Areas in Communications 31 9 399 408 2013 10.1109/JSAC.2013.SUP.0513036
- Dowd , G. 2020 https://github.com/garrettdowd/py_ptv
- Sukennik , P. 2018 https://www.h2020-coexist.eu/wp-content/uploads/2018/11/D2.5-Micro-simulation-guide-for-automated-vehicles.pdf
- PTV AMERICA 2020 https://ptvtraffic.us/resources/v3d/
- liris 2019 https://github.com/websocket-client/websocket-client.git
- https://www.waveshare.com/wiki/SIM7600A-H_4G_HAT 2020