Sample Problem: Determining the Peak Hour Factor (PHF)

Analyzing short-term traffic volume fluctuations.

Example

A traffic volume study was conducted on a major arterial. The observed volumes during the peak hour (7:00 AM7:00\text{ AM} to 8:00 AM8:00\text{ AM}) were recorded in 15-minute intervals:
  • 7:007:15 AM7:00 - 7:15\text{ AM}: 350 vehicles350 \text{ vehicles}
  • 7:157:30 AM7:15 - 7:30\text{ AM}: 410 vehicles410 \text{ vehicles}
  • 7:307:45 AM7:30 - 7:45\text{ AM}: 480 vehicles480 \text{ vehicles}
  • 7:458:00 AM7:45 - 8:00\text{ AM}: 380 vehicles380 \text{ vehicles}
Calculate the Peak Hour Volume (PHV), the maximum 15-minute rate of flow, and the Peak Hour Factor (PHF).

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Sample Problem: Spot Speed Study (Time Mean Speed vs. Space Mean Speed)

Calculating different definitions of average speed.

Example

A radar gun is used to record the speeds of 55 vehicles passing a specific point on a highway. The recorded speeds are: 8080, 8585, 9090, 9595, and 100 km/h100 \text{ km/h}. Calculate both the Time Mean Speed (vtv_t) and the Space Mean Speed (vsv_s) for this sample.

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Sample Problem: Greenshields Macroscopic Traffic Flow Theory

Applying the fundamental relationship (q=ukq = uk) to find capacity.

Example

Traffic flow on a freeway segment is modeled using Greenshields' linear speed-density relationship. Field studies show the free-flow speed (ufu_f) is 110 km/h110 \text{ km/h} and the jam density (kjk_j) is 120 vehicles/km/lane120 \text{ vehicles/km/lane}.
  1. Derive the equation for speed as a function of density.
  2. Determine the maximum capacity (qmaxq_{max}) of the lane.
  3. Calculate the speed and density at which maximum capacity occurs.

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Sample Problem: Highway Capacity and Level of Service (LOS)

Determining the quality of flow on a freeway segment.

Example

A two-lane (one direction) rural freeway has a theoretical capacity under ideal conditions of 2,400 passenger cars/hour/lane2,400 \text{ passenger cars/hour/lane} (pc/h/ln). The current observed peak hour volume is 3,200 vehicles/hour3,200 \text{ vehicles/hour} across both lanes. The traffic stream contains 15%15\% heavy trucks. Assuming the passenger car equivalent for a truck (ETE_T) on this terrain is 2.02.0, and ignoring other adjustment factors for simplicity, calculate the equivalent passenger car flow rate (vpv_p) and determine the Volume-to-Capacity (v/cv/c) ratio to estimate the Level of Service.

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Case Study: Understanding Passenger Car Units (PCU)

Why 1,000 mixed vehicles do not equal 1,000 passenger cars.

Example

An urban intersection is operating at near capacity. To improve flow, the city considers banning large delivery trucks (which currently make up 10%10\% of the traffic) during the peak hour. If a truck has a PCU (Passenger Car Unit) value of 2.52.5, explain theoretically how banning 100100 trucks would affect the intersection's capacity compared to banning 100100 cars.

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