Leveraging public cloud infrastructure for real-time connected vehicle speed advisory at a signalized corridor
In this study, we developed a real-time connected vehicle (CV) speed advisory application that uses public cloud services, and tested it on a simulated signalized corridor for different roadway traffic conditions. First, we developed a scalable serverless cloud computing architecture leveraging publ...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-03-01
|
| Series: | International Journal of Transportation Science and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2046043024000352 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849701874673909760 |
|---|---|
| author | Hsien-Wen Deng M Sabbir Salek Mizanur Rahman Mashrur Chowdhury Mitch Shue Amy W. Apon |
| author_facet | Hsien-Wen Deng M Sabbir Salek Mizanur Rahman Mashrur Chowdhury Mitch Shue Amy W. Apon |
| author_sort | Hsien-Wen Deng |
| collection | DOAJ |
| description | In this study, we developed a real-time connected vehicle (CV) speed advisory application that uses public cloud services, and tested it on a simulated signalized corridor for different roadway traffic conditions. First, we developed a scalable serverless cloud computing architecture leveraging public cloud services offered by Amazon Web Services (AWS) to support the requirements of a real-time CV application. Second, we developed an optimization-based real-time CV speed advisory algorithm by taking a modular design approach, which makes the application automatically scalable and deployable in the cloud using the serverless architecture. Third, we developed a cloud-in-the-loop simulation testbed using AWS and an open-source microscopic roadway traffic simulator called simulation of urban mobility (SUMO). Our analyses based on different roadway traffic conditions showed that the serverless CV speed advisory application meets the latency requirement of real-time CV mobility applications. Besides, our serverless CV speed advisory application reduced the average stopped delay (by 77%) and the aggregated risk of collision (by 21%) at the signalized intersections of a corridor. These prove the feasibility as well as the efficacy of utilizing public cloud infrastructure to implement real-time roadway traffic management applications in a CV environment. |
| format | Article |
| id | doaj-art-15646aba2af44a83a0f9a242ff2342eb |
| institution | DOAJ |
| issn | 2046-0430 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Transportation Science and Technology |
| spelling | doaj-art-15646aba2af44a83a0f9a242ff2342eb2025-08-20T03:17:51ZengKeAi Communications Co., Ltd.International Journal of Transportation Science and Technology2046-04302025-03-011713114710.1016/j.ijtst.2024.03.004Leveraging public cloud infrastructure for real-time connected vehicle speed advisory at a signalized corridorHsien-Wen Deng0M Sabbir Salek1Mizanur Rahman2Mashrur Chowdhury3Mitch Shue4Amy W. Apon5School of Computing, Clemson University, Clemson, SC 29631, USAGlenn Department of Civil Engineering, Clemson University, Clemson, SC 29631, USA; Corresponding author.Department of Civil, Construction & Environmental Engineering, The University of Alabama, Tuscaloosa, AL 35487, USAGlenn Department of Civil Engineering, Clemson University, Clemson, SC 29631, USASchool of Computing, Clemson University, Clemson, SC 29631, USASchool of Computing, Clemson University, Clemson, SC 29631, USAIn this study, we developed a real-time connected vehicle (CV) speed advisory application that uses public cloud services, and tested it on a simulated signalized corridor for different roadway traffic conditions. First, we developed a scalable serverless cloud computing architecture leveraging public cloud services offered by Amazon Web Services (AWS) to support the requirements of a real-time CV application. Second, we developed an optimization-based real-time CV speed advisory algorithm by taking a modular design approach, which makes the application automatically scalable and deployable in the cloud using the serverless architecture. Third, we developed a cloud-in-the-loop simulation testbed using AWS and an open-source microscopic roadway traffic simulator called simulation of urban mobility (SUMO). Our analyses based on different roadway traffic conditions showed that the serverless CV speed advisory application meets the latency requirement of real-time CV mobility applications. Besides, our serverless CV speed advisory application reduced the average stopped delay (by 77%) and the aggregated risk of collision (by 21%) at the signalized intersections of a corridor. These prove the feasibility as well as the efficacy of utilizing public cloud infrastructure to implement real-time roadway traffic management applications in a CV environment.http://www.sciencedirect.com/science/article/pii/S2046043024000352Public cloudCyber-physical systemConnected vehicle (CV)Roadway traffic managementAmazon Web Services (AWS) |
| spellingShingle | Hsien-Wen Deng M Sabbir Salek Mizanur Rahman Mashrur Chowdhury Mitch Shue Amy W. Apon Leveraging public cloud infrastructure for real-time connected vehicle speed advisory at a signalized corridor International Journal of Transportation Science and Technology Public cloud Cyber-physical system Connected vehicle (CV) Roadway traffic management Amazon Web Services (AWS) |
| title | Leveraging public cloud infrastructure for real-time connected vehicle speed advisory at a signalized corridor |
| title_full | Leveraging public cloud infrastructure for real-time connected vehicle speed advisory at a signalized corridor |
| title_fullStr | Leveraging public cloud infrastructure for real-time connected vehicle speed advisory at a signalized corridor |
| title_full_unstemmed | Leveraging public cloud infrastructure for real-time connected vehicle speed advisory at a signalized corridor |
| title_short | Leveraging public cloud infrastructure for real-time connected vehicle speed advisory at a signalized corridor |
| title_sort | leveraging public cloud infrastructure for real time connected vehicle speed advisory at a signalized corridor |
| topic | Public cloud Cyber-physical system Connected vehicle (CV) Roadway traffic management Amazon Web Services (AWS) |
| url | http://www.sciencedirect.com/science/article/pii/S2046043024000352 |
| work_keys_str_mv | AT hsienwendeng leveragingpubliccloudinfrastructureforrealtimeconnectedvehiclespeedadvisoryatasignalizedcorridor AT msabbirsalek leveragingpubliccloudinfrastructureforrealtimeconnectedvehiclespeedadvisoryatasignalizedcorridor AT mizanurrahman leveragingpubliccloudinfrastructureforrealtimeconnectedvehiclespeedadvisoryatasignalizedcorridor AT mashrurchowdhury leveragingpubliccloudinfrastructureforrealtimeconnectedvehiclespeedadvisoryatasignalizedcorridor AT mitchshue leveragingpubliccloudinfrastructureforrealtimeconnectedvehiclespeedadvisoryatasignalizedcorridor AT amywapon leveragingpubliccloudinfrastructureforrealtimeconnectedvehiclespeedadvisoryatasignalizedcorridor |