Environmental Protection in Scenic Areas: Traffic Scheme for Clean Energy Vehicles Based on Multi-agent-Reference-Cited by-同舟云学术

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Environmental Protection in Scenic Areas: Traffic Scheme for Clean Energy Vehicles Based on Multi-agent

Published:2018-01-10 Issue:4 Volume:52 Page:1069-1087
ISSN:0927-7099
Container-title:Computational Economics
language:en
Short-container-title:Comput Econ

Author:

Li Lei^ORCID,Liu Wenting,Xiao Lindi,Sun Hui^ORCID,Wang Shi

Funder

NSFC

Humanity and Social Science Youth foundation of Ministry of Education of China

Philosophy and Social Sciences Planning Foundation of Tianjin

Major program of Social Science by the Tianjin Education Commission

Major subject of Scientific and Technological Development Strategy Research Plan of Tianjin

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)

Link

http://link.springer.com/article/10.1007/s10614-017-9790-5/fulltext.html

Reference31 articles.

1. Abdoos, M., Mozayani, N., & Bazzan, A. L. C. (2013). Holonic multi-agent system for traffic signals control. Engineering Applications of Artificial Intelligence, 26, 1575–1587.

2. Antoci, A., Galeotti, M., & Radi, D. (2011). Financial tools for the abatement of traffic congestion: A dynamical analysis. Computational Economics, 38, 389–405.

3. Bo, C., Harry, H. C., & Joe, P. (2009). Integrating mobile agent technology with multi-agent systems for distributed traffic detection and management systems. Transportation Research Part C: Emerging Technologies, 17, 1–10.

4. Carotenuto, P., Monacelli, D., Raponi, G., et al. (2012). A dynamic simulation model of a flexible transport services for people in congested area. Procedia-Social and Behavioral Sciences, 54, 357–364.

5. Chaib-Draa, B., Moulin, B., Mandiau, R., et al. (1992). Trends in distributed artificial intelligence. Artificial Intelligence Review, 6, 35–66.

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