| Autor: |
Da Wei, Gang Lu, Yuming Ge, Rundong Yu, Chen Kang, Miaoqiong Wang, Jian Wang |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
ISPA/BDCloud/SocialCom/SustainCom |
| Popis: |
This paper proposes a Green Light Optimal Speed Advisory (GLOSA) system aiming at reducing vehicle fuel consumption, which can be implemented as an IOV solution in multi-modal traffic environments to improve regional traffic conditions. We use VEINS architecture to couple SUMO simulator and OMNET++ simulator to support the change of simulated vehicle driving mode to verify the proposed system. We chose the Haidian District of Beijing as the research target because of its traffic characteristics. Experimental results show that the GLOSA system proposed in this study also performs well in multi-modal traffic environments, with a reduction of 11.28% in waiting time and 9.27% CO 2 emissions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
