6-Lane Signalized Intersection Traffic Count Report

Project Year: 2024
Country: USA
Location Type: Commercial Area
Number of Lanes: 6
Cameras Used: 4
Duration: 7 Days (Peak Hours)

6-lane-signalized

Introduction

This study aims to assess the efficiency of signal timing and traffic flow at a 6-lane signalized intersection located in a high-traffic commercial area. The goal is to analyze vehicle movements to identify areas of congestion and inefficiency, providing critical data to guide signal optimization efforts. By studying traffic patterns during peak hours, we can recommend the installation of new signals and signal timing adjustments to improve overall traffic flow and support future planning for high-flow areas.

Methodology

The traffic count was conducted following a comprehensive methodology designed to capture all relevant data for accurate analysis:

  • Intersection Configuration: 6-lane signalized intersection.
  • Cameras: 4 cameras were strategically placed to capture traffic data at all lanes and directions.
  • Count Duration: 7 full days, with focus on peak hours to capture maximum traffic volume.
    • Weekday Morning (AM): 7:00 a.m. – 9:00 a.m.
    • Weekday Afternoon (PM): 4:00 p.m. – 6:00 p.m.
    • Weekend Midday: 11:00 a.m. – 1:00 p.m.
  • Data Segmentation: Traffic data was recorded in 15-minute intervals to capture peak flow and changes in traffic behavior during different times of the day.

Additional observations included traffic type categorization (e.g., passenger vehicles, trucks, buses, etc.), signal phase analysis, and any incidents or disruptions affecting traffic flow during data collection.

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Key Findings – Traffic Flow

  • High Traffic Volume: The intersection experienced significant congestion during weekday afternoon and weekend peak periods, with the highest volume observed between 4:00 p.m. and 6:00 p.m.

  • Efficiency of Signal Timing: Analysis showed inefficiencies in signal timing, particularly during the afternoon peak, when traffic flow decreased despite green signals. This suggests a need for signal phase adjustments to improve throughput.

  • Vehicle Types: A high proportion of trucks and delivery vehicles were observed, especially in the commercial area, which further contributed to congestion. Optimizing traffic flow for mixed vehicle types could enhance efficiency.

  • Congestion Bottlenecks: Specific lanes, particularly in the southbound direction, saw consistent bottlenecks, indicating uneven traffic distribution and a need for lane reconfiguration or additional signals.

Vehicle Class Breakdown

Traffic flow analysis included categorization by vehicle type across the intersection:

  • Passenger Vehicles: 70%
  • Light Trucks and Vans: 15%
  • Heavy Trucks and Buses: 10%
  • Motorcycles: 3%
  • Bicycles/Pedestrians: 2%

The data highlights that truck and bus traffic significantly impacts the flow, especially during peak hours in the commercial area.

Signal Optimization Recommendations

  • Signal Timing Adjustment: The signal timings for both weekday and weekend peak periods should be adjusted to prioritize heavier flows, especially in the southbound direction. Shorter signal phases for lighter traffic can enhance the flow for larger vehicle volumes.

  • Additional Signals: Consider installing turning lanes and signals at high-traffic intersections to manage turning movements and reduce blockage during peak periods.

  • Lane Reconfiguration: A potential reallocation of lanes may be required to accommodate the heavy trucks and buses, which are currently congesting key lanes.

Conclusion & Future Application

The analysis of the 6-lane signalized intersection provided crucial insights into its current traffic performance. Recommendations for improving signal timing, lane usage, and signal installations could lead to significant improvements in efficiency and reduced congestion during peak hours.

Future monitoring is recommended to ensure the effectiveness of the implemented changes and to make further adjustments as traffic patterns evolve.

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