Abstract
Traffic pollution in many urban areas is one serious problem challenging transportation policy makers. It is an existent question for transportation researchers how to manage traffic environment. The paper discusses environment impact of Intelligent Transportation Systems (ITS), and employs the theory and methods of traffic behaviors science to establish environment management model of multi-mode traffic system under ITS, which state how to decrease pollution in city by pricing scheme. It uses theoretical and empirical results from the literature to Guangzhou as a typical case.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2004 International Conference on Machine Learning and Cybernetics |
| Pages | 2661-2665 |
| Number of pages | 5 |
| State | Published - 2004 |
| Externally published | Yes |
| Event | Proceedings of 2004 International Conference on Machine Learning and Cybernetics - Shanghai, China Duration: 26 Aug 2004 → 29 Aug 2004 |
Publication series
| Name | Proceedings of 2004 International Conference on Machine Learning and Cybernetics |
|---|---|
| Volume | 5 |
Conference
| Conference | Proceedings of 2004 International Conference on Machine Learning and Cybernetics |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 26/08/04 → 29/08/04 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Environment management
- Intelligent transportation systems
- Multi-mode traffic
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