FACTSHEET 9 Transport Activity Measurement Toolkit (TAMT) Developer World Bank Latin America and the Caribbean Region Sustainable Development Department Transport Cluster, World Bank Environment-Climate Change Department TAMT Beta 1.0 was released in 2011; the most recent version is Beta 1.1 Location http://code.google.com/p/tamt/wiki/DesignDocIntroduction Websites of interest http://www.virtualbox.org/ TAMT is a Transport Activity Measurement Toolkit designed to facilitate vehicle activity data gathering and management. The TAMT framework for the assessment of transport emissions is designed to: Provide a simplified standardized approach to data collection and processing that can be performed by a diverse group of people and institutions in many countries. Allow distinct output datasets to be generated as required to run different transport planning and emissions models. TAMT does not calculate emissions factors; it is a toolkit that is designed to facilitate vehicle activity data gathering and management. It is composed of both a practitioners’ guide that outlines a methodology for assembling local data on vehicle activity and a software program (TAMT Appliance) that “allows users to collect, manipulate, and output GPS data on [vehicle travel in] road networks.” 1 TAMT has an open-source software program that can be freely downloaded from the code.google.com site, and can be run on any desktop system that supports the Oracle VirtualBox client. Methodology TAMT provides a GIS (Google Maps) based tool for collating traffic data by way of GPSbased sampling of local traffic patterns, vehicle use and occupancy, and fleet composition.2 The steps required to develop an activity-based GHG and local pollutant emissions inventory are as follows: 1) Divide routes into sections with consistent traffic patterns. 2) Measure traffic flow on each section by day, hour, and vehicle class. Traffic counts may be made using video-based sampling or manual traffic counts. 1 Information available at: http://code.google.com/p/tamt/wiki/DesignDocIntroduction Information available on line at: http://www.esmap.org/esmap/sites/esmap.org/files/Modeling%20Tool_TAMT.pdf 2 3) Measure traffic speed and drive cycles on each section during congested and uncongested flow, via a “moving observer technique (in which a seed-vehicle with or without GPS drives at the average traffic speed)” and/or using GPS loggers to record actual trips by local people. 4) Measure vehicle occupancy 5) Use fleet composition data based on vehicle sales and registration data, emissions test data, and survey work Source: (Rogers, 2001) TAMT measures VKT (vehicle kilometers travelled) via ‘link-based emissions measurements’, in which data on vehicle flow on a given roadway and the length of that roadway provides the hourly VKT on that roadway. “By calculating the length of each road link, the TAMT Appliance processes the vehicle flow and speed data using SQL regressive weighted averaging to obtain simple output tables giving the VKT fraction for each vehicle type, technology, and fuel in 5 kph speed bins. It also generates other trip length and soak time information tables.” (Rogers, 2011) The TAMT Appliance software generates two types of reports, the data of which can be fed into an emission factor model to enable the user to obtain the total emissions. Inputs Define study zone Divide road into sections (tag important roads) Measure the traffic flow on tagged sections (traffic counts) Measure traffic speed and drive cycles (recorded by the device) – Import to the program from the GPS log files Outputs Annual vehicle - kilometers travelled within each speed bin for each vehicle types Trip statistics (drive cycles) – see Table 9.1. Table 9.1 TAMT Inputs – Drive Cycle Speed bin (speed distribution) Trip statistics reports Speed distribution Trip bin Speed distribution by traffic flow Engine soak times the travel distribution on each Tag for each day type (aggregated by Day-type) The travel distribution on each Tag for each day type (aggregated by tag) Source: (Rogers, J. 2011) Vehicle Categories There are 250 types, technologies and fuel combinations. Vehicle Characteristics incorporate “vehicle type, subtype, technology, Gross vehicle weight (GVW), accumulated mileage, engine displacement, and fuel used.” Motorcycles- W2 (Gasoline, 2T or 4T), three-wheelers - W3 (gasoline or LPG/CNG, 2T or 4T), Passenger cars – PC (gasoline, diesel, or LPG/CNG), Taxi (TX), (it is included in PC) Light-duty passenger vehicles – LDV, Pickups, Vans, SUVs, Light-duty commercial vehicles – LDC (gasoline and Diesel up 3.5 tons GVW, LPG/CNG up 2.5 tons GVW, Heavy-duty commercial (trucks) - HDC (long-distance coach [diesel], over 3.5 tons GVW [Gasoline], urban bus [diesel or LPG/CNG], rigid truck [diesel], tractortrailer/articulated truck [diesel]) Medium duty minibuses – MDB Heavy duty buses HDB Pollutants/Gases Analyzed N/A Evaluation Table 9.2 TAMT Evaluation (strengths and weaknesses) Strengths Weaknesses TAMT can be used as part of an Not publicly available integrated suite (including EFFECT, MACtool, LULUCF) to perform lowcarbon growth assessments TAMT hardware requirements (video cameras, GPS devices) are low-cost and accessible in developing nations, relative to such other methods for collecting local VKT as Origin-Destination surveys Precedents N/A Reference Rogers, J., 2011. A. TAMT Practitioners’ Guide. The World Bank. Pages 152 (129139). Accessed on July 20, 2011 at: http://www.cleanairinstitute.org/wp/wpcontent/uploads/2011/07/TAMT_Guide_Final.pdf Rogers, J., The World Bank & ESMAP. Measuring and forecasting global and local emissions from on-road transport presentation. (May 21, 2011) Accessed on July 21, 2011 at: http://www.cleanairinstitute.org/download/rosario/sp12_05_john_rogers.pdf Rogers, J., The World Bank & ESMAP. Measuring Transport Activity. A Toolkit for Evaluating Fuel Consumption and Emissions from On Road Vehicles and forecasting global and local emissions from on-road transport presentation. (July 11, 2011). Accessed on July 20, 2011 http://www.cleanairinstitute.org/wp/wpcontent/uploads/2011/07/TAMTEFFECT_20110711-presentation.pdf at: