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Scenario based traffic optimization in Egypt performance gains through simulation modeling.

Nehal Fawzy1, M A Mohamed2, Hanan M Amer2

  • 1Department of Electronics and Communications Engineering, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt. Nona_fawzy91@std.mans.edu.eg.

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Summary
This summary is machine-generated.

Optimizing traffic signals and intersection design in Mansoura significantly reduced delays, travel times, and emissions. This study shows improved traffic flow and environmental benefits for urban mobility.

Keywords:
Intelligent transportation systems (ITS)Simulation of urban mobility (SUMO)Vehicle emissions (CO, CO2, NOx, HC, PMx)

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Area of Science:

  • Urban Planning and Transportation Engineering
  • Environmental Science and Engineering
  • Traffic Simulation and Modeling

Background:

  • Rapid urbanization in Mansoura, Egypt, has led to severe traffic congestion.
  • Existing traffic management strategies are insufficient to handle the growing vehicle numbers.
  • Efficient urban traffic management solutions are crucial for sustainable city development.

Purpose of the Study:

  • To evaluate the effectiveness of optimized traffic control strategies at Umm Kulthum Square in Mansoura.
  • To compare existing traffic conditions with an optimized scenario using traffic simulation.
  • To assess the impact of traffic management improvements on traffic performance, emissions, and fuel consumption.

Main Methods:

  • Utilized SUMO (Simulation of Urban Mobility) software for traffic simulation.
  • Developed two scenarios: existing conditions (Scenario 1) and optimized traffic control (Scenario 2).
  • Calibrated road geometry and lane counts using satellite imagery; optimized signal locations, phases, and movements in Scenario 2.

Main Results:

  • Scenario 2 significantly reduced average departure delay (from 32.63s to 7.08s at 3599s) and travel duration (from 388.60s to 246.15s).
  • Optimized strategies increased completed trips (from 672 to 715 vehicles at 3599s) and decreased waiting times (from 288.21s to 143.70s).
  • Substantial reductions observed in CO₂, CO, HC, NOx, PMx emissions, fuel consumption, and noise levels, alongside decreased queue lengths and times.

Conclusions:

  • Traffic signal optimization and intersection design improvements are highly effective in enhancing traffic efficiency in urban areas.
  • The study demonstrates significant environmental benefits, including reduced emissions and fuel consumption.
  • Implementing these strategies can alleviate congestion and improve overall urban mobility in Mansoura.