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TRUCK TRAFFIC PREDICTION USING QUICK RESPONSE FREIGHT MODEL UNDER DIFFERENT DEGREES OF GEOGRAPHIC RESOLUTION: GEOGRAPHIC INFORMATION SYSTEM APPLICATION IN PENNSYLVANIA.
| 题名： | TRUCK TRAFFIC PREDICTION USING QUICK RESPONSE FREIGHT MODEL UNDER DIFFERENT DEGREES OF GEOGRAPHIC RESOLUTION: GEOGRAPHIC INFORMATION SYSTEM APPLICATION IN PENNSYLVANIA. |
| 作者： | Marker-JT Jr.; Goulias-KG |
| 关键词： | TRUCKS-; PREDICTIONS-; GEOGRAPHIC-INFORMATION-SYSTEMS; TRIP-GENERATION; TRIP-DISTRIBUTION; TRAFFIC-ASSIGNMENT; TRAFFIC-MODELS; CALIBRATIONS-; TRAFFIC-ANALYSIS-ZONES |
| 摘要： | The new Quick Response Freight Manual (QRFM) was used to model truck traffic in Centre County, Pennsylvania, using Geographic Information System software. The QRFM methodology of truck traffic estimation follows the three-step process of trip generation, trip distribution, and traffic assignment. Trip generation was estimated by four classes of business employment and number of households and was aggregated to traffic analysis zones. Trip distribution employed a doubly constrained gravity model with travel time-based friction factors. User equilibrium was used for traffic assignment. Model calibration was performed by comparing total vehicle miles traveled from model output with observed data. A comparison is made in truck traffic estimation between two models when the model resolution is changed, that is, when the size and number of traffic analysis zones (TAZs) are changed. One model uses census tracts and the other uses census blocks and block groups as TAZs. Both models use the same network, which includes all major highways and most local roads in the urbanized region of the county. Results from the two aggregation scales of analysis were compared with each other by using traffic counts in the Roadway Management System of Pennsylvania as reference data. The estimated truck traffic link volumes favor the use of the more disaggregate TAZ scheme, which is based on blocks and block groups. |
| 总页数： | Transportation Research Record. 1998. (1625) pp118-123 (3 Fig., 4 Tab., 7 Ref.) |
| 报告类型： | 科技报告 |
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