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Commercial Vehicle Output Files

Travel Model Two generates comprehensive commercial vehicle (truck) demand matrices and analysis outputs for freight and service vehicle movements.

Truck Demand Matrices

Trip Generation Results

File Pattern: demand_matrices/commercial/truck_generation_[truck_class].csv

Description: Trip productions and attractions by MAZ for each truck class

Truck Classes: 1. Very Small Trucks (2-axle, 4-tire) - Service vehicles, small delivery 2. Small Trucks (2-axle, 6-tire) - Medium delivery, service trucks
3. Medium Trucks (3-axle) - Large delivery, construction vehicles 4. Large Trucks (4+ axle) - Heavy freight, combination vehicles

Format: CSV with columns:

MAZ,productions,attractions,balanced_productions,balanced_attractions

Content: - Raw model-generated trip ends - Balanced productions and attractions - Balancing factors applied

Trip Distribution Results

File Pattern: demand_matrices/commercial/truck_od_[truck_class]_[time_period].omx

Description: Origin-destination trip tables by truck class and time period

Matrix Names: - TRIPS - Total daily trips - AM_TRIPS - AM peak period trips
- PM_TRIPS - PM peak period trips - OFFPEAK_TRIPS - Off-peak period trips

Commercial Vehicle Summary

File Pattern: output_summaries/commercial_vehicle_summary.csv

Content: - Total trips by truck class - Average trip length by class - VMT by truck type and area type - Temporal distribution patterns

Trip Generation Analysis

Employment-Based Generation

File Pattern: output_summaries/truck_generation_by_employment.csv

Description: Trip generation rates by employment sector

Employment Categories: - RETEMPN - Retail employment - FPSEMPN - Food/personal services - HEREMPN - Health/education/recreation
- OTHEMPN - Other employment - AGREMPN - Agriculture/natural resources - MWTEMPN - Manufacturing/wholesale/transportation

Trip Rates: Trips per employee by truck class and employment type

Household-Based Generation

File Pattern: output_summaries/truck_generation_by_households.csv

Description: Service vehicle trips generated by residential areas

Content: - Household service vehicle rates - Delivery and service trip patterns - Residential area commercial activity

Trip Distribution Analysis

Friction Factors

File Pattern: commercial/friction_factors_[truck_class].csv

Description: Distance-based impedance factors used in gravity model

Format: CSV with columns:

distance_bin,friction_factor,calibrated_factor

K-Factors Application

File Pattern: commercial/k_factors_applied_[truck_class].csv

Description: Spatial adjustment factors applied to base trip distribution

Content: - Origin zone k-factors - Destination zone k-factors
- Adjustment ratios by geography

Blended Impedance

File Pattern: commercial/blended_impedance_[truck_class].omx

Description: Combined time and distance impedance matrices

Components: - Travel time impedance - Distance impedance
- Blending parameters by truck class

Temporal Distribution

Time-of-Day Factors

File Pattern: commercial/time_of_day_factors.csv

Description: Factors for distributing daily trips to time periods

Format: CSV with columns:

truck_class,EA,AM,MD,PM,EV

Content: - Share of daily trips by time period - Different patterns by truck class - Peak/off-peak distribution

Directional Factors

File Pattern: commercial/directional_factors.csv

Description: AM/PM directional split factors

Content: - Morning peak direction preference - Evening peak direction preference - Varies by truck class and trip purpose

Special Generators

Airport Freight

File Pattern: commercial/airport_freight_[airport].csv

Description: Freight trips to/from airport facilities

Airports Included: - SFO - San Francisco International - OAK - Oakland International - SJC - San Jose International

Content: - Air cargo truck trips - Ground service equipment - Passenger service vehicles

Port Freight

File Pattern: commercial/port_freight_[port].csv

Description: Freight movements to/from port facilities

Ports Included: - Oakland Port - Richmond Port - Redwood City Port

Content: - Container truck movements - Bulk cargo vehicles - Port service traffic

Industrial Facilities

File Pattern: commercial/industrial_generators.csv

Description: Major industrial facility freight patterns

Facility Types: - Refineries - Manufacturing plants - Distribution centers - Construction sites

External Commercial Vehicles

External-Internal Trips

File Pattern: commercial/external_internal_trucks.omx

Description: Commercial vehicle trips crossing model boundary

External Stations: 21 external gateway locations

Content: - Through trips by truck class - Internal-external trips - External-internal trips - Growth rates by forecast year

Through Trips

File Pattern: commercial/through_trucks.omx

Description: Commercial vehicles passing through region

Content: - External-external movements - Truck class distribution - Route assignment impacts

Model Calibration Outputs

Observed vs. Modeled Comparison

File Pattern: output_summaries/truck_calibration_summary.csv

Content: - Truck count validation - Classification accuracy - Temporal pattern validation - Geographic distribution checks

Calibration Adjustments

File Pattern: commercial/calibration_adjustments.csv

Description: Parameters adjusted during model calibration

Content: - Trip rate adjustments - Friction factor modifications - K-factor calibration values - Temporal distribution adjustments

Network Assignment Results

Included in: hwy/load[TimePeriod].net

Link Attributes: - @vol_sm - Small truck volume (classes 1-2) - @vol_hv - Heavy vehicle volume (classes 3-4)
- @pct_truck - Truck percentage of total volume

Truck VMT Summary

File Pattern: output_summaries/truck_vmt_[time_period].csv

Content: - VMT by truck class and facility type - Network performance impacts - Freight corridor utilization - Truck speed and delay

Data Processing Notes

Trip Purpose Segmentation

  • Service Trips: Household-serving commercial vehicles
  • Freight Trips: Goods movement between businesses
  • Construction: Temporary construction-related trips
  • Waste/Utility: Service utility and waste collection

Geographic Detail

  • Generation: MAZ-level (40,000+ zones)
  • Distribution: TAZ-level (1,454 zones)
  • Assignment: Full network detail

Temporal Resolution

  • Daily: 24-hour period
  • Peak Periods: AM (6-10), PM (3-7)
  • Off-Peak: EA, MD, EV periods

Model Integration

  • Feedback: Truck volumes affect highway congestion
  • Land Use: Employment-based trip generation
  • External: Coordination with regional freight forecasts

Quality Assurance

Validation Targets

  1. Total Truck VMT: Regional truck VMT targets
  2. Truck Counts: Validation against classification counts
  3. Temporal Patterns: Peak/off-peak distribution validation
  4. Facility Type: Truck usage by highway functional class
  5. Geographic Distribution: Truck activity by county/area

Key Performance Indicators

  • Truck percentage of total traffic
  • Average trip length by truck class
  • Freight activity per employee
  • External truck trip validation
  • Seasonal variation factors