Abstract
Electric vehicles have gained popularity in modern society as a solution to both traffic pollution and energy consumption. However, the stabilization of the mixed traffic flow with both electric vehicles (EVs) and fuel electric vehicles (FVs) in the road network has been explored very little. In this study, a modified multiple velocity difference model is developed by taking into account the unique features of EVs. The stability criterion is obtained by the linear analysis, and the coexisting curves are drawn. In addition, the traffic behavior of the modified model is further investigated with numerical simulations. The results show that the characters of different type of vehicles have a great impact on the stability of the mixed traffic flow. Yet, EVs always show better performance in stabilizing the stream than FVs, which indicates that more EVs on the road would help make the traffic much more quickly back to the steady state.
| Original language | English |
|---|---|
| Title of host publication | Green Intelligent Transportation Systems - Proceedings of the 8th International Conference on Green Intelligent Transportation Systems and Safety |
| Editors | Wuhong Wang, Xiaobei Jiang, Klaus Bengler |
| Publisher | Springer Verlag |
| Pages | 251-261 |
| Number of pages | 11 |
| ISBN (Print) | 9789811303012 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 8th International Conference on Green Intelligent Transportation Systems and Safety, 2017 - Changchun, China Duration: 1 Jul 2017 → 2 Jul 2017 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 503 |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Conference
| Conference | 8th International Conference on Green Intelligent Transportation Systems and Safety, 2017 |
|---|---|
| Country/Territory | China |
| City | Changchun |
| Period | 1/07/17 → 2/07/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Electric vehicles
- Mixed traffic flow
- Modified multiple velocity difference model
- Stabilization
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