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 ¶
Truck Volumes by Link ¶
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 ¶
- Total Truck VMT: Regional truck VMT targets
- Truck Counts: Validation against classification counts
- Temporal Patterns: Peak/off-peak distribution validation
- Facility Type: Truck usage by highway functional class
- 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