Dongxiu Ou
Biographic Data
| ID | 7862213 |
|---|---|
| NAME | Dongxiu Ou |
| GIVEN NAMES | Dongxiu |
| FAMILY NAME | Ou |
| SIGNATURE | OU D |
| AFFILIATIONS | Tongji University |
| ORCID | 0000-0002-2415-3058 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
An Environmentally Sustainable Software-Defined Networking Data Dissemination Method for Mixed Traffic Flows in RSU Clouds with Energy Restriction
The connected multi road side unit (RSU) environment can be envisioned as the RSU cloud. In this paper, the Software-Defined Networking (SDN) framework is utilized to dynamically reconfigure the RSU clouds for the mixed traffic flows with energy restrictions, which are composed of five categories of vehicles with distinctive communication demands. An environmentally sustainable SDN data dissemination method for safer and greener transportation so…
Time-of-Day Control Double-Order Optimization of Traffic Safety and Data-Driven Intersections
This paper proposes a novel two-order optimization model of the division of time-of-day control segmented points of road intersection to address the limitations of the randomness of artificial experience, avoid the complex multi-factor division calculation, and optimize the traditional model over traffic safety and data-driven methods. For the first-order optimization-that is, deep optimization of the model input data-we first increase the dimens…
No prominent works on this page.
Time-of-Day Control Double-Order Optimization of Traffic Safety and Data-Driven Intersections
This paper proposes a novel two-order optimization model of the division of time-of-day control segmented points of road intersection to address the limitations of the randomness of artificial experience, avoid the complex multi-factor division calculation, and optimize the traditional model over traffic safety and data-driven methods. For the first-order optimization-that is, deep optimization of the model input data-we first increase the dimens…
An Environmentally Sustainable Software-Defined Networking Data Dissemination Method for Mixed Traffic Flows in RSU Clouds with Energy Restriction
The connected multi road side unit (RSU) environment can be envisioned as the RSU cloud. In this paper, the Software-Defined Networking (SDN) framework is utilized to dynamically reconfigure the RSU clouds for the mixed traffic flows with energy restrictions, which are composed of five categories of vehicles with distinctive communication demands. An environmentally sustainable SDN data dissemination method for safer and greener transportation so…
Computer Science (2 works) · Engineering (2 works) · Traffic control and management (2 works) · Algorithm (1 work) · Artificial Intelligence (1 work) · Business (1 work) · Cloud computing (1 work) · Control (management (1 work) · Distributed computing (1 work) · Efficient energy use (1 work)