Variability Analysis of Isolated Intersections Through Case Study
Variability Analysis of Isolated Intersections Through Case Study
|© 2022 by IJETT Journal|
|Year of Publication : 2022|
|Authors : Savithramma R M, R Sumathi, Sudhira H S
|DOI : 10.14445/22315381/IJETT-V70I8P237|
How to Cite?
Savithramma R M, R Sumathi, Sudhira H S, "Variability Analysis of Isolated Intersections Through Case Study," International Journal of Engineering Trends and Technology, vol. 70, no. 8, pp. 359-374, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I8P237
Population and economic growth of urban areas have led to intensive use of private vehicles, thereby increasing traffic volume and congestion on roads. The traffic management in the city is a challenge for concerned authorities, and the signalized intersections are the primary interest of traffic management. Interpreting traffic patterns and current traffic signal operations can provide thorough insights to take appropriate actions. In this view, a comprehensive study is conducted at selected intersections from Tumakuru (tier-2 city), Karnataka, India. Data estimates traffic parameters such as saturation flow, composition, volume, and volume-to-capacity ratio. The statistical results currently confirm the stable traffic condition but do not ensure sustainability. The volume-to-capacity ratio is greater than 0.73 along three major arterial roads of study intersections, indicating congestion in the future as the traffic volume is increasing gradually, as per the Directorate of Urban Land Use and Transportation, Government of Karnataka. The statistical results obtained through the current study uphold the report. The empirical results showed 40% of green time wastage at one of the study intersections, which results in additional waiting delays, thereby increasing fuel consumption and emissions. The overall service level of the study intersections is of class C based on computed delay and volume-to-capacity ratio. The study suggests possible treatments for improving the service level at the intersection operations and sustaining the city's stable traffic condition. The study supports city traffic management authorities in identifying suitable treatment and implementing accordingly.
Heterogeneous traffic, Signalized intersections, Smart city, Traffic composition, Variability analysis.
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