International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 03 | Mar 2024
p-ISSN: 2395-0072
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The Influence of Traffic Mix on Traffic Efficiency: An In-Depth Examination Mohammad Faraz Idris Siddiqui1, Bilal Ahmad2 1B. Tech Student, Department of Computer Engineering, Jamia Millia Islamia, New Delhi, India 2B. Tech Student, Department of Civil Engineering, Jamia Millia Islamia, New Delhi, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Traffic congestion is a pervasive challenge in
and signal timings to develop a holistic understanding of traffic performance [7], [8]. Using VISSIM, a sophisticated traffic simulation tool, we will create virtual models that accurately replicate real-world road conditions. By observing and analyzing the behaviour and interactions of different traffic compositions under various scenarios, we can measure key performance indicators such as travel time, average speed, and queue length to assess the correlation between traffic composition and traffic performance.
megacities worldwide, significantly impacting travel times, economic productivity, and environmental quality. This study explores the impact of increasing the percentage of two-wheelers (2W) and cars on traffic performance at the Munirka Intersection and RK Puram in New Delhi, India. Using VISSIM simulation software, scenarios were simulated with incremental increases in the proportion of 2W and cars. Results show varying effects on traffic performance, with RK Puram experiencing more significant changes compared to the Munirka Intersection. Recommendations include implementing effective traffic management strategies, improving infrastructure, promoting public transportation, and utilizing data-driven decision-making to enhance traffic efficiency in urban intersections. This research provides valuable insights for optimizing traffic flow and developing targeted traffic management approaches in metropolitan regions.
By utilizing data analysis methods, our goal is to pinpoint particular traffic composition situations that have a substantial influence on traffic efficiency. This examination will offer important perspectives for shaping traffic control approaches and aiding the advancement of effective transportation systems in the Munirka Intersection and comparable urban settings. Ultimately, comprehending the link between traffic makeup and traffic efficiency is essential for addressing congestion, enhancing transportation, and improving the well-being of residents at Munirka Intersection. The objectives of this study are to:
Key Words: Traffic Congestion, VISSIM, Traffic Performance, Traffic Management, Urban intersections, Munirka Intersection, RK Puram
1. INTRODUCTION
Traffic congestion is a critical problem faced by urban areas worldwide, leading to economic losses, environmental issues, and a decrease in the quality of life[1]. To effectively address this issue and plan for efficient infrastructure, it is essential to understand the factors that influence traffic performance [2], including the composition of vehicles on the road [3]. Different types of vehicles, such as private cars, public transport vehicles, motorcycles, and commercial trucks, interact in unique ways that affect overall traffic dynamics [3]. By analyzing various parameters like density, speed, and volume using the VISSIM simulation software [4], [5], we aim to gain valuable insights into optimizing traffic flow and mitigating congestion [6] in Munirka Intersection, New Delhi.
To conduct this analysis, we will gather comprehensive data on traffic composition in the Munirka Intersection, including different vehicle types such as two-wheelers, four-wheelers, heavy commercial vehicles, and others. Additionally, we will consider factors like traffic volume
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Examine the influence of traffic makeup on traffic effectiveness in metropolitan regions, specifically focusing on the Munirka Intersection in New Delhi. Investigate the relationship between traffic makeup and important performance metrics such as density, speed, and volume. Use the PTV VISSIM simulation software to collect detailed information on different vehicle categories, such as private automobiles, public transit vehicles, bikes, and freight trucks [9], [10]. Consider variables like traffic volume and the configuration of signal timings in the evaluation [11]. Simulate actual road conditions in VISSIM to evaluate the impact of raising the proportion of 2wheelers and cars by 5%, 10%, and 15% on traffic performance. Examine factors such as density, speed, volume, and other measurable indicators in VISSIM to recognize traffic patterns that have a substantial impact on traffic efficiency [4].
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