Advanced information feedback in intelligent traffic systems

Autor:	Wen-Chen Zheng, Bing-Hong Wang, Chuan-Yang Yin, Wen-Xu Wang, Tao Zhou
Rok vydání:	2005
Předmět:	Travel time Computer simulation Computer science Traffic conditions Real-time computing Stock market Traffic flow Intelligent transportation system Information feedback Road user
Zdroj:	Physical Review E. 72
ISSN:	1550-2376 1539-3755
DOI:	10.1103/physreve.72.066702
Popis:	The optimal information feedback is very important to many socioeconomic systems like stock market and traffic systems aiming to make full use of resources. As to traffic flow, a reasonable real-time information feedback can improve the urban traffic condition by providing route guidance. In this paper, the influence of a feedback strategy named congestion coefficient feedback strategy is introduced, based on a two-route scenario in which dynamic information can be generated and displayed on the board to guide road users to make a choice. Simulation results adopting this optimal information feedback strategy have demonstrated high efficiency in controlling spatial distribution of traffic patterns compared with the other two information feedback strategies, i.e., travel time and mean velocity.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccc96d914fcadcf2f29818aab5ecba10 https://doi.org/10.1103/physreve.72.066702 Zobrazit plný text záznamu