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Operational Effect of Allowing Single Occupant Hybrid Vehicles into High Occupancy Vehicle Lanes
Chris BreilandFehr & Peers Associate
Lianyu Chu, Hamed BenouarCalifornia Center for Innovative Transportation (CCIT)UC Berkeley
Energy Use/Air Quality Issues
Increased Vehicle Miles Traveled
Antipathy Toward HOV Lanes
Hybrid Hype
Origins of “Hybrid-HOV” Laws
• SAFETEA-LU Requirements
– States can allow energy efficient, clean air SOVs in HOV lanes
– No operational degradation
Policy Specifics
• Implemented prior to passage of SAFTEA-LU
• Different definition of HOV lane degradation
– Primarily density/LOS based versus speed based
Policy Specifics - California AB 2628
Hybrid Population Data
PolicyDesign scenario
Estimate hybrid demand
Select study site
Build micro-simulation model
Calibrate micro-simulation model
Run simulation for each scenario
Performance measures
Estimate SOV / HOV demand
Planning model
Compare simulation results
Policy Implications
Methodology
Study Scenarios
• Baseline: Existing Conditions
• Scenario 1: Existing Hybrid Population
• Scenario 2: 50,000 Hybrid Checkpoint
• Scenario 3: 75,000 Hybrid Maximum
• Scenario 4: Eight Percent Hybrid Share
• Scenario 5: Nineteen Percent Hybrid Share
• Irvine, CA
– Highly Detectorized
– Fairly Busy
– Variety of HOV
Lane Geometries
Source: Google Maps
Study Location
Paramics Simulation Model
Paramics Simulation Model
Criteria and Measures Acceptability Targets
Model Performance
Hourly flows: modeled versus observed
Individual Link Flows Within 400 vph for flow > 2700 vph
Total (summed) Link Flows Within 5%
GEH Statistic – Individual Link Flows GEH < 5
GEH Statistic – Total (summed) Link Flows GEH < 4
> 85% of all cases All links
> 85% of all cases
All links
TOTA L: 153 mainline and ramp links
75%* Yes – Average error 3.61%
92%
Yes – Average GEH 3.17
Travel Time: modeled versus observed
Point-to-point Travel Times Within 15% or one minute, whichever is higher
> 85% of all cases
TOTA L: 6 trips
83%**
Visual Audits
Individual Link Speeds Visually acceptable speed-flow relationship
Bottlenecks Visually acceptable queuing
To analyst’s satisfaction
To analyst’s satisfaction
Acceptable Acceptable
* If criteria were expanded to allow flows of 408 or less, then 92% of cases would have been acceptable ** Due to a limited number of Caltrans travel time measurements, only six travel time comparisons can be made with 5 of the 6 trips within one minute of the measured time.
Model Calibration / Validation
• Based on California Law and Virginia HOV Task Force Report
– HCM 2000 Level of Service based on density
– Change in HOV lane travel time
– HOV lane flow rates
Performance Measures
HOV Lane Segment Performanc e Measure
Baseline Scen ario
1 Scen ario
2 Scen ario
3 Scen ario
4 Scen ario
5
Min 4.7 4.7 4.7 4.6 5.0 5.6 Mean 12.0 12.1 12.5 12.4 13.2 14.5 Density (vpm) Max 19.8 19.9 20.0 20.7 21.9 23.7 Min N/A -2.2% -2.3 -1.8% -0.5% -0.4% Mean N/A 0.85% 0.76% 0.94% 1.24% 1.78%
% Cha nge in HOV Lane Travel Time
Max N/A 5.3% 7.3% 4.7% 8.1% 8.0% Mean 1064 1065 1061 1077 1206 1225
Flow (vph) Max 1265 1264 1290 1289 1380 1515
Results
Performanc e Measure Baseline Scenario
1 Scenario
2 Scenario
3 Scenario
4 Scenario
5 Number of Sections with LOS A
25 23 24 25 19 13
Number of Sections with LOS B
15 17 14 13 20 23
Number of Sections with LOS C
1 1 3 3 2 5
Number of Sections with LOS D or Above
0 0 0 0 0 0
Number of Periods where Flow > 1800 vph
0 0 0 0 0 0
Results
• No significant degradation of HOV lane operations in study area
– Flows on SB I-5 in Santa Ana reached 1515 vph
• Results do not preclude degradation on other facilities in the state or country
Conclusions
• Policy may be implemented without widespread HOV lane degradation
• Hybrid sales strong
• “Take away” problem
• Virginia law set to expire on July 1, 2006
• Phase in toll lanes
• Better use of HOV lanes
• HOT lane
• Priority-based HOV operation
Policy Implications
Questions?