## General guidelines 1. The dataset contains trip origin, destination, commodity group, average daily trips, commodity weight and value. 2. The data represents activity by medium and heavy trucks only. 3. The origin and destination data is aggregated by counties in Ontario and province or state outside of Ontario. 4. The commodities are grouped into 32 groups and empty trucks. 5. The Commercial Vehicle Survey targets travel on provincial facilities. Therefore, coverage of intra-urban trips is incomplete, and should not be interpreted as representative. 6. Trip activity within the Greater Toronto Area municipalities is not representative. 7. The average trip distance is 440 km. Caution must be exercised with short distance trip activities. 8. All Origin-destination pairs with average trip activity of less than one trip per day have been suppressed. ## Field descriptions **Origin zone** : Trip Origin Zone Number - Zone aggregation is counties in Ontario and province/state for others 35XX - Ontario counties 70XX - U.S. States XX00-XX00 (except 3500) - Canadian Provinces **Origin name** : Trip Origin Name - county or province/state name **Destination zone** : Trip Destination Zone Number - Zone aggregation is counties in Ontario and province/state for others. Same numbering system as origins **Destination name** : Trip Destination Name - county or province/state name **Commodity group code** : Unique commodity group numeric code **Commodity group:** Descriptive name of the commodity group **Daily trips** : Average daily truck trips **Commodity weight** : Average daily commodity weight in kilograms (KG) **Commodity value** : Average daily value of the commodity in dollars ($) *[km]: kilometre

The Ontario Railway Network (ORWN) is seven data classes that use the federal GEOBASE standard for the National Railway Network (NRWN) geospatial data. The seven data classes include: * track * crossing * junctions * marker posts * structure lines * structure points * stations Although the ORWN is mainly used as base data for cartographic products, users will also get railway-associated attributes.

The Ministry of Transportation's Remote Northern Transportation Office in Thunder Bay operates 29 airports. These are located in Ontario's far north, extending from the Manitoba border on the west to Hudson's Bay on the north and to the Quebec border on the east. Except for Pickle Lake and Armstrong, these airports serve aboriginal communities, which have no all-weather road access to the rest of Ontario.

Data collected between 2005 to 2007, 3% of sample collected in 2005, 51% in 2006 and 46% in 2007. This dataset contains a compilation of data collected from different sources. **VOG 06/** **VOG** **08 (Value of Goods)** : The data is derived from the information collected in the 2006 Ontario Commercial Vehicle Survey. This survey is a roadside intercept survey of truck drivers, which collects information about the trip, commodity and the vehicle. The survey primarily captures intercity trucking activity and under-represents truck flows in urban areas. The value of goods provided in this table is derived from the Commercial Vehicle Survey, but factored up to represent the overall trucking activity on the network segment for 2006 and 2008. **AADTT 2006 and ****AADTT** **2008:** The data is derived from the Ministry of Transportation's (MTO) inventory of annual traffic data for the Provincial Highways. The commercial volumes are first calculated using the AADT and the Commercial Percentage values for each traffic segment. These values are then adjusted to remove variations between segments caused by fluctuations in AADT. The volume given for each direction is one-half of the total value. MTO does not maintain volume by direction. For freeway segments with core/collector configuration, the total volume is divided into four equal portions and assigned to each stream. **Hourly Truck Volumes ( WD00-23 and WN00-23): ** These fields contain estimates of average hourly volumes for a typical weekday and weekend day. The estimates are based on observed hourly distribution at more than 100 directional Commercial Vehicle Survey sites across the province, **AADTT** and other information. **RD _NAME:** Name of the road **VOG** **06:** 2006 average daily value of goods assigned to road network link by directions. **VOG** **08:** 2008 average daily value of goods assigned to road network link by directions. **AADTT** **2006:** 2006 Annual Average Daily Truck Traffic; it is the truck volume assigned to road network link by directions. **AADTT** **2008:** 2008 Annual Average Daily Truck Traffic; it is the truck volume assigned to road network link by directions. **WD** **00-23:** 2008 Weekday ( **WD** ) hourly truck volume; 00 - 23 represents starting hour of the day (e.g. 12 represents 12 P.M. - 1 P.M.). **WN** **00-23:** 2008 Weekend ( **WN** ) hourly truck volume; 00 - 23 represents starting hour of the day (e.g. 12 represents 12 P.M. - 1 P.M.). *[ WD]: Week day *[VOG]: Value of Goods *[AADTT]: Annual Average Daily Truck Traffic *[WN]: Week end *[RD]: Road *[WD]: Week day *[MTO]: Ministry of Transportation *[AADT]: Annual Average Daily Traffic

This index identifies project areas on provincial highways where aerial photography and photogrammetric mapping has been collected.

Pavement condition data is collected annually using an Automatic Road Analyzer (ARAN). Based on the automated data, the condition of the pavement is evaluated in terms of distresses (Distress Manifestation Index, DMI), wheel track rutting (in mm) and roughness (International Roughness Index, IRI). These indices are integrated into one Pavement Condition Index (PCI) for overall pavement condition reporting and analysis.

The Cordon Count Data (CCD) includes directional traffic counts at selected sites to understand how vehicles and people move across the region. Traffic data includes the number of vehicles as well as the number of passengers transported by different vehicle types and the transit system. The interval of CCD collection varies 2-3 years across agencies. CCD provides data for three time periods: 13 hours, AM peak periods, and PM peak periods. Summary data are provided for these three time periods for different screen lines, and directions. *[CCD]: Cordon Count Data

Data tracking historical truck travel speeds from the road network performance project. The travel speeds, Travel Time Index (TTI), Delay Index (DI) and Buffer Time Index (BTI) were calculated with GPS data collected by GPS fleet tracking units. This data is used by the Ministry of Transportation to monitor truck speed and performance on major roadways within Ontario. *[GPS]: Global Positioning System

This data provides core information on truck travel and commodity flows on the provincial highway network and other significant truck corridors. It includes the basic commercial vehicle information data set. This data is used by MTO's Systems Analysis and Forecasting Office to monitor truck volumes,value of goods and performance on major roadways within Ontario. *[MTO]: Ministry of Transportation

This data, also known as the Linear Highway Referencing System (LHRS), is used to locate events along the highway network. Three separate files make up the LHRS dataset: LHRS route is a spatial (GIS) representation of the highway network; LHRS Base Points divide the highway network into base sections with known driven distances; LHRS features points (composite listing) are additional described locations along the highway network. The location of events can be identified by a driven distance, along the LHRS route from a given LHRS Base point or feature point. *[GIS]: Geographic Information System *[LHRS]: Linear Highway Referencing System