Communications - Scientific Letters of the University of Zilina 2024, 26(3):A50-A65 | DOI: 10.26552/com.C.2024.033
Assessing the Impact of Three-Wheelers on Traffic Flow in India: A Case Study Using Ann
- School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, India
This study explores the significant role of three-wheelers (3W) on urban road traffic, focusing on the reduction in average vehicle speeds and its consequential impact on the Level of Service (LOS) of the road. Data collected from various traffic volumes reveal significant speed reductions ranging from 4 % to 35 % due to the movement of 3Ws on the road. To model this phenomenon, Artificial Neural Network (ANN) is employed. The resulting reductions in speed, induced by the 3W, trigger LOS degradation, leading to congestion and delays. A noteworthy finding is that the traffic flow naturally gravitates towards the LOS C, underscoring the substantial role played by the 3W in diminishing the overall LOS of the road. This research offers critical insights into the dynamics of urban traffic influenced by the 3W, providing a valuable foundation for traffic management and urban planning efforts.
Keywords: three-wheelers (3W) traffic flow average speed reduction congestion level of service (LOS) artificial neural network (ANN) speed modelling
Grants and funding:
The authors received no financial support for the research, authorship and/or publication of this article.
Conflicts of interest:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Received: February 27, 2024; Accepted: May 23, 2024; Prepublished online: May 31, 2024; Published: July 11, 2024 Show citation
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