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Tech & Gaming ⚡ Intermediate ⏱️ 45-60 minutes

How to Simulate and Optimize Traffic Flow

Model urban road networks, configure signal timing, and simulate bottleneck mitigation techniques using open-source traffic simulation software on your computer.

Quick answer

This guide shows how to simulate and optimize traffic flow in 45-60 minutes. Start with import network map data; follow the safety notes and step checkpoints below.

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🧰 Required Tools & Equipment

  • ✓ Computer running Windows, macOS, or Linux
  • ✓ Two-button scroll wheel mouse
  • ✓ Dual-monitor setup or split-screen display

📦 Materials & Supplies

  • ✓ Open-source traffic simulation suite (SUMO or similar)
  • ✓ OpenStreetMap road network export (.osm file)
  • ✓ Intersection vehicle count datasheet

⚠️ Safety Checkpoints & Warnings

📋 Step-by-Step Guide (6 Steps)

1

Import Network Map Data

Launch the network editor tool and open your exported OpenStreetMap road network file. Select the target congested intersection and crop out surrounding unused periphery roads to conserve processing power. Verify all road segments, lanes, and directional arrows accurately reflect real-world layout.

👁️ Camera AI Checkpoint
  • • A clean multi-lane intersection appears on the viewport grid with clear blue road vectors.
  • • Unnecessary outlying nodes and dead-end spur tracks are removed.
🛑 Watch Out For
  • • Importing an entire metropolitan area at once, causing severe render lag.
  • • Failing to verify one-way street directional flags.
⚠️ Safety Note: Take periodic eye breaks to prevent digital eye strain.
2

Configure Lane Connectivity and Turning Lanes

Select the junction inspection tool and click each inbound lane. Draw connection lines from dedicated turn lanes to their matching outbound receiving lanes. Designate dedicated left-turn slip lanes to prevent straight-moving vehicles from blocking through-traffic.

👁️ Camera AI Checkpoint
  • • Colored directional arc lines connect each lane to valid exit lanes across the intersection box.
  • • No conflicting crossing paths share an unmanaged lane lane index.
🛑 Watch Out For
  • • Leaving through-lanes merged with high-volume left-turn lanes.
  • • Allowing multiple inbound lanes to bottleneck into a single outbound lane without a merge taper.
⚠️ Safety Note: Save incremental backups of your network XML file before editing lane indices.
3

Establish Signal Phases and Cycle Times

Open the traffic light logic panel for the junction node and switch from priority-based yielding to actuated signal control. Define green phases for opposing through-lanes, followed by protected turn phases and amber clearance intervals. Set minimum green times to 15 seconds and cycle lengths to 90 seconds.

👁️ Camera AI Checkpoint
  • • Phase timeline shows alternating green, yellow, and red blocks across all approach phases.
  • • Signal heads on the visual map show synchronized color changes during playback scrub.
🛑 Watch Out For
  • • Omitting yellow clearance and all-red clearance intervals between conflicting phase changes.
  • • Setting green cycle times too short, causing high startup-lost time per vehicle.
⚠️ Safety Note: Ensure adequate virtual pedestrian clearance intervals are preserved in signal timing tables.
4

Generate Traffic Demand Flows

Open the demand generator interface and input hourly vehicle rates based on peak-hour counts. Define vehicle distributions with 85% passenger cars, 10% heavy trucks, and 5% buses. Set route origins at the perimeter entrance edges and destinations at opposing exit gates.

👁️ Camera AI Checkpoint
  • • Vehicle flow data tables show populated hourly insertion volumes exceeding 1,200 vehicles per hour per lane.
  • • Route paths highlight brightly across the network diagram from edge to edge.
🛑 Watch Out For
  • • Setting uniform vehicle speeds and reaction times, which prevents realistic phantom jam formation.
  • • Flooding the network at step zero rather than ramping up insertion rates smoothly.
⚠️ Safety Note: Keep simulation scale factors manageable to avoid high CPU thermal throttling.
5

Run Simulation and Benchmark Bottlenecks

Press the run button at 1.0x real-time speed to observe vehicle queues developing at the junction. Monitor the output dashboard for average vehicle delay, queue length, and throughput count. Note the exact time step and lane where standing wave shockwaves begin to propagate backward.

👁️ Camera AI Checkpoint
  • • Vehicles move smoothly through lanes, decelerating at red lights and accelerating on green.
  • • Live graphs display average vehicle speed and cumulative waiting time curves.
🛑 Watch Out For
  • • Running the simulation at maximum speed without visual checks, missing micro-stalls.
  • • Stopping the test before the network reaches steady-state saturation.
⚠️ Safety Note: Check computer cooling fans are unobstructed during prolonged simulation runs.
6

Apply Optimization and Validate Throughput

Modify the junction design by either converting it to a multilane modern roundabout or implementing coordinated green wave offsets with adjacent nodes. Re-run the simulation under identical demand traffic volumes. Compare the resulting average travel time and delay metrics against your baseline benchmark.

👁️ Camera AI Checkpoint
  • • Side-by-side analytics show a reduction of at least 30% in cumulative vehicle wait time.
  • • Continuous vehicle movement through the junction with minimal standing queues.
🛑 Watch Out For
  • • Changing traffic demand volume between tests, invalidating comparative baseline data.
  • • Creating lane weaving zones shorter than the required minimum merge distance.
⚠️ Safety Note: Export and archive your comparative charts before closing the software environment.

Credit: inspired by an original tutorial by Wendover Productions — watch the original on YouTube.

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