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Numerical Experimentation Research in Optimizing the Signal Rate & other Related Factors on Traffic Flow

Publication Type : Journal Article

Publisher : International Journal of Recent Technology and Engineering (IJRTE)

Source : International Journal of Recent Technology and Engineering (IJRTE), Volume 2, Issue 2 (2019)

Url : https://www.ijrte.org/wp-content/uploads/papers/v8i2/B1034078219.pdf

Campus : Kochi

School : School of Arts and Sciences

Department : Mathematics

Year : 2019

Abstract : Traffic congestion is one of the current issues faced by the major cities constantly, since past few years. A well organized traffic system and its infrastructure can make a positive impact in reducing the block and thereby affecting the social strata and hence, the economy. Considering the current scenario in the city of Thiruvananthapuram, this study is conducted to forecast the optimal delay time of the signals, such as it reduces the congestion problem effectively. Similar to other cities, Thiruvananthapuram is also prone to the traffic jam in roads on a regular basis. This affects the social system immensely by consuming a large amount of time and fuel. The primal objective of this paper is to optimize the delay time provided for the vehicles that could make the system more systematic, by reducing the wastage of idle time.

Cite this Research Publication : Athira N and Anjaly Anand, “Numerical Experimentation Research in Optimizing the Signal Rate & other Related Factors on Traffic Flow”, International Journal of Recent Technology and Engineering (IJRTE), vol. 2, no. 2, 2019.

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