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FHWA Traffic Analysis Tools Measures of Effectiveness

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FHWA Traffic Analysis Tools Measures of Effectiveness Richard Dowling July 28, 2006 The Problem The HCM and traffic simulation tools rarely give same performance results. – PowerPoint PPT presentation

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Title: FHWA Traffic Analysis Tools Measures of Effectiveness


1
FHWA Traffic Analysis Tools Measures of
Effectiveness
  • Richard Dowling
  • July 28, 2006

2
The Problem
  • The HCM and traffic simulation tools rarely give
    same performance results.
  • No guidelines on how to interpret performance
    results.

3
Project Objectives
  • To develop information and guidance on
  • Which MOEs should be produced,
  • How they should be interpreted, and
  • How they should be defined and calculated in
    traffic analysis tools

4
Approach
  1. Review current practice.
  2. Review how MOEs computed from field data.
  3. Review how MOEs are defined and computed within
    traffic simulation models and the HCM.
  4. Develop innovative approach to interpret MOEs.
  5. Demonstrate approach in a case study.

5
Status
  • Draft report being reviewed by expert panel.

6
Microsim MOEs
  • Currently
  • Travel time, speed, delay, queues
  • Critique
  • Computed differently in different software
  • Breakdown at high congestion levels
  • Hard to interpret

7
Examples of Computation Differences
  • Mean speed
  • Definition of Queue
  • Queue length

8
1. Mean Speed on Arterial Link
Time
Signal
Analysis Period
Vehicle Trajectories
Distance
Link Length
9
Mean Speed - SimTraffic
Time
SpeedVMT/VHT
Distance
10
Mean Speed - CORSIM
SpeedVMT/VHT
Time
11
All traces used for VHT. Only traces 1-11 for VMT.
Distance
1
11
Mean Speed - AimSun
Time
SpeedVMT/(VHT)
0
ExitTime
EntryTime
Distance
12
Recommendation
  • Adopt analysis domain that is limited to only
    some of the vehicles in the simulation period.
  • Analysis period is specified by user.
  • Simulation period is amount of time required to
    clear all vehicles entering (or attempting to
    enter) link during analysis period.

13
(No Transcript)
14
2. Definition of Queue
  • HCM vehicle waiting to be served.
  • SimTraf speed lt 11 km/h
  • Corsim speed lt 3-9 km/h
  • Vissim user defined, (def. lt 5 km/h)
  • Paramics user defined, (def. lt 7 km/h)
  • Aimsun user defined.

15
Signal Example
16
Queue Overflows Link
HCM, Synchro, Vissim(2)
Aimsun, Corsim, Vissim Paramics, SimTraf
Distance
Link Length
17
Queue Does Not Clear
HCM/Synchro Max.Back.Queue
Simulation Max.Back.Queue
Simulation Max Queue
Analysis Period
Distance
Link Length
18
Recommendation
  • Adopt standard maximum speed and minimum spacing
    for queues in US.
  • Adopt queue performance measures that identify
    overflow potential when queue exceeds 90 of
    storage capacity.
  • Do not rely upon simulation reported queue
    lengths when queue exceeds 90 of storage
    capacity.

19
Breakdown of Some MOEs
  • Under parking lot conditions
  • Speed goes to zero.
  • Density goes to jam density.
  • Stops go to zero.
  • Variance goes to zero.

20
Recommendation
  • Place greater reliance on travel time and delay
    performance measures that do not flatten out
    under extreme congestion (parking lot) conditions.

21
MOEs for Decision Makers
  • Indices that have obvious good and bad values.
  • Reference each index to a desired state
  • Continue to be meaningful under extreme LOS F
    congested conditions.

22
Recommended MOEs
  • Travel Time Index
  • Percent Delay
  • Buffer Index
  • Intersection Blockages (, Hours)
  • LOS F Segments (, Hours)
  • Fuel Consumption Ratio
  • Air Pollution (NOx) Emissions Ratio

23
Travel Time Index
  • Ratio of actual to free-flow travel time.
  • For freeways TTI gt 1.5 means over capacity.
  • For signalized arterials, TTI gt 2.5 means over
    capacity and/or poor signal coordination.

24
TTIs at Capacity Uninterrupted Flow Facilities
25
TTI at Capacity Uncoordinated Arterials
26
TTI at Capacity Coordinated Arterials
27
Percent Delay
  • Ratio of mean delay to mean trip time at
    free-flow speeds.

28
Buffer Index
  • Excess travel time that must be budgeted to
    ensure 95 probability of arriving on-time
    divided by the mean trip time.
  • Values of 25 to 33 typical of urban commutes.

29
Fuel Consumption Index
  • Ratio of actual fuel consumed to hypothetical
    fuel consumed at fuel efficient travel speeds, no
    stops.
  • Values near 1.00 indicate near optimal operations.

30
Air Pollution Index
  • Ratio of nitrous oxides (NOx) emissions to
    emissions at minimal polluting travel speed (no
    stops).
  • Values of near 1.00 indicate near optimal
    operation.
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