A Connected Vehicle System with High-Availability and Low-Bandwidth Requirement for First Responders
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 149, Issue 9
Abstract
This paper presents design and implementation of a high-availability, low-bandwidth requirement vehicular and portable connectivity system which allows first responders to communicate relevant and timely information. Since first responders may often handle remote areas with challenging communication networks, the system developed addresses an important research question, namely, can a Connected Vehicle technology be developed that would optimize selection of the communication mode based on availability, signal strength, noise, and bandwidth? The system developed and tested supports reliable connectivity even in harsh environments allowing responders to provide information on the scene of incidents to others in or outside their organization. The system integrates computing and communications technologies, including smartphone and tablet systems, and software stacks to facilitate deployment. This paper provides background, system design, and implementation details of the field-ready Connected Vehicle as a First Responder Connected Vehicle/Portable (FRCVP) system both in terms of its hardware and its software. Experimental validation of the system’s Communications Arbiter is also presented.
Practical Applications
This paper presents a portable system which provides responders with cost-effective communications even in harsh communications environments. The system allows the responder to communicate incident details and resource needs using the most cost-effective communications channel available. This allows headquarters to dispatch the exact tools needed, thus minimizing cost and environmental impact while achieving the best response.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
Support of this work by the California Department of Transportation’s Divisions of Research, Innovation and System Information and Maintenance is greatly appreciated. This work is an extension of the work originally conducted by the Western Transportation Institute (Richter et al. 2009). This work was supported through the AHMCT Research Center under Caltrans Contracts IA65A0416 Task 1846 and IA65A0560 Task 2927.
References
Ahlzen, L. 2023. TopOSM—A system for rendering OpenStreetMap based topographic maps. San Francisco: GitHub.
California DOT. 2023. Caltrans: Commercial wholesale web portal: Version 2. Sacramento, CA: California DOT.
Donecker, S., K. Yen, B. Ravani, and T. A. Lasky. 2015. Mobile real-time information system for snow fighter supervisors-system design & test. Davis, CA: Univ. of California.
Donecker, S. M., T. Swanston, K. Yen, B. Ravani, and T. A. Lasky. 2017. Development and testing of responder: Phase III. Davis, CA: Univ. of California.
Geospatial Data Abstraction Library. 1998. GDAL—Geospatial data abstraction library. Beaverton, OR: Open Source Geospatial Foundation.
Gesch, D. 2009. The national map: Elevation. Washington, DC: USGS.
Google LLC. 2023. Google Maps platform. Mountain View, CA: Google LLC.
Hireche, S., A. Dennai, and B. Kadri. 2021. “Latest developments of connected vehicles pilot projects: A survey.” In Proc., Int. Conf. on Artificial Intelligence in Renewable Energetic Systems, 662–673. Berlin: Springer.
Ihara, Y., H. Kremo, O. Altintas, H. Tanaka, M. Ohtake, T. Fujii, C. Yoshimura, K. Ando, K. Tsukamoto, and M. Tsuru. 2013. “Distributed autonomous multi-hop vehicle-to-vehicle communications over TV white space.” In Proc., 2013 IEEE 10th Consumer Communications and Networking Conf. (CCNC), 336–344. New York: IEEE.
ImageMagick. 1999. ImageMagick: Convert, edit, or compose bitmap images. Mountain View, CA: ImageMagick Studio LLC.
Jiang, X., H. Zhang, E. A. B. Yi, N. Raghunathan, C. Mousoulis, S. Chaterji, D. Peroulis, A. Shakouri, and S. Bagchi. 2020. “Hybrid low-power wide-area mesh network for IoT applications.” IEEE Internet Things J. 8 (2): 901–915. https://doi.org/10.1109/JIOT.2020.3009228.
Nurlan, Z., T. Z. Kokenovna, M. Othman, and A. Adamova. 2021. “Resource allocation approach for optimal routing in IoT wireless mesh networks.” IEEE Access 9 (Aug): 153926–153942. https://doi.org/10.1109/ACCESS.2021.3123903.
OpenStreetMap. 2018. Openstreetmap. Cambridge, UK: OpenStreetMap Foundation.
Passos, D., F. Rolim e Souza, and C. Albuquerque. 2016. “Linear mesh network planning for power transmission line management.” Trans. Emerging Telecommun. Technol. 27 (10): 1396–1408. https://doi.org/10.1002/ett.3064.
Pavlenko, A. 2018. Mapnik.Org—The core of geospatial visualization & processing. Lewiston, NY: Protocase.
Protocase. 2022. Custom electronic enclosures for engineers and designers. Lewiston, NY: Protocase.
Raniwala, A., and T.-C. Chiueh. 2005. “Architecture and algorithms for an IEEE 802.11—Based multi-channel wireless mesh network.” In Proc., IEEE 24th Annual Joint Conf. of the IEEE Computer and Communications Societies, 2223–2234. New York: IEEE.
Richter, D., K. Bateman, and D. Galarus. 2009. Responder Phase 2 final report. Bozeman, MT: Western Transportation Institute.
Saif, A. G. 2021. “A recursive deterministic routing algorithm for two dimensional mesh network.” Int. J. Comput. Sci. Mobile Comput. 10 (3): 1–13. https://doi.org/10.47760/ijcsmc.2021.v10i03.001.
Swanston, T., K. Yen, B. Ravani, and T. Lasky. 2014. Enhancement and technical support of intelligent roadway information system (IRIS) in Caltrans Districts 1, 2, 5 and 10. Davis, CA: Univ. of California.
Taherifard, N., M. Simsek, and B. Kantarci. 2019. “Bridging connected vehicles with artificial intelligence for smart first responder services.” In Proc., 2019 IEEE Global Conf. on Signal and Information Processing (GlobalSIP), 1–5. New York: IEEE.
USGS. 2022. USGS.Gov | Science for a changing world. Washington, DC: USGS.
Information & Authors
Information
Published In
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Jun 3, 2022
Accepted: Mar 28, 2023
Published online: Jun 22, 2023
Published in print: Sep 1, 2023
Discussion open until: Nov 22, 2023
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.