Smart City Gnosys
Smart city article details
| Title | Towards A Simulation Framework For Edge-To-Cloud Orchestration In C-Its |
|---|---|
| ID_Doc | 57914 |
| Authors | Nguyen P.H.; Hugo A.; Svantorp K.; Elnes B.M. |
| Year | 2020 |
| Published | Proceedings - IEEE International Conference on Mobile Data Management, 2020-June |
| DOI | http://dx.doi.org/10.1109/MDM48529.2020.00077 |
| Abstract | Cooperative Intelligent Transport Systems (C-ITS) are essential for smart cities. To realise the vision of C-ITS in the European Strategy to implement smart mobility towards Cooperative, Connected and Automated Mobility (CCAM), there must be advanced infrastructures for message exchange between connected and autonomous vehicles (CAVs), road-side units (RSUs), and transport management centres. One of the most challenges to build such infrastructures is to ensure the scalability to support for millions of vehicles on roads at the same time. In this short paper, we aim to discuss the challenge of ensuring the scalability of a C-ITS platform and describe our simulation framework to test its scalability. First, we give a high-level description of a C-ITS platform that is based on Edge-Cloud orchestration for message exchange between CAVs, RSUs, and transportation data centres. Then, we present our simulation framework that is based on Eclipse SUMO and Veins to test the scalability of the C-ITS platform. We have initially worked in two main tasks for the simulation framework: build simulation scenarios and integrate MQTT clients into the simulation tools to test our C-ITS platform. These are two fundamental steps towards a full simulation framework for our C-ITS platform. © 2020 IEEE. |
| Author Keywords | Autonomous vehicles; C-ITS; CCAM; Connected vehicles; Edge-To-cloud; Simulation; Smart mobility |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
59660  | 0.871 | Rocha D.; Silva B.; Vieira E.; Almeida J.; Bartolomeu P.; Ferreira J. | Unlocking The Potential Of C-Its Data For The Deployment Of Traffic Management Systems | IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (2024) |
| 13204 | 0.869 | Lokaj Z.; Srotyr M.; Vanis M.; Broz J.; Mlada M. | C-Its Sim As A Tool For V2X Communication And Its Validity Assessment | 2021 Smart City Symposium Prague, SCSP 2021 (2021) |
| 60648 | 0.862 | Belcastro L.; Marozzo F.; Orsino A.; Talia D.; Trunfio P. | Using The Compute Continuum For Data Analysis: Edge-Cloud Integration For Urban Mobility | Proceedings - 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2023 (2023) |
| 58191 | 0.859 | Visan M.; Negrea S.L.; Mone F. | Towards Intelligent Public Transport Systems In Smart Cities; Collaborative Decisions To Be Made | Procedia Computer Science, 199 (2021) |
| 4476 | 0.859 | Wilhelm G.; Ayaida M.; Fouchal H. | A Secure Cloud Approach For Intelligent Transport Systems | Proceedings - IEEE Global Communications Conference, GLOBECOM (2019) |