Latest revision as of 15:36, 21 January 2021

Abstract

The growth of intelligent transport systems (ITS) has recently been quite fast and impressive, and various kinds of studies on ITS from the viewpoint of artificial intelligence have also been done [1][2][3][4][5]. However, there are still many problems that need to be solved and alleviating traffic congestion is one of the main issues. Reducing traffic congestion is quite urgent because the amount of money lost due to congestion within only 1 km in Tokyo has reached as much as 400 million yen per year. To alleviate this situation, two traffic-control systems called the “Vehicle Information and Communication System (VICS)” and “the probe car system (PCS)” are currently in operation in Japan.

Original document

The different versions of the original document can be found in:

• http://www.intechopen.com/articles/show/title/traffic-congestion-forecasting-algorithm-based-on-pheromone-communication-model

• https://www.intechopen.com/citation-pdf-url/43017 under the license cc-by

• http://www.intechopen.com/download/pdf/43017,

http://dx.doi.org/10.5772/52563

• https://cdn.intechopen.com/pdfs/43017.pdf,

http://cdn.intechopen.com/pdfs/43017.pdf,

https://www.intechopen.com/books/ant-colony-optimization-techniques-and-applications/traffic-congestion-forecasting-algorithm-based-on-pheromone-communication-model,

https://www.intechopen.com/books/statistics/ant-colony-optimization-techniques-and-applications/traffic-congestion-forecasting-algorithm-based-on-pheromone-communication-model,

https://academic.microsoft.com/#/detail/1543631333