GRANT AGREEMENT FOR AN ACTION Support for road traffic statistics

Transcription

1 TECHNICAL IMPLEMENTATION REPORT GRANT AGREEMENT FOR AN ACTION Support for road traffic statistics This document has been produced with the financial assistance of the European Commission. The views expressed herein are those of the author and can therefore in no way be taken to reflect the official opinion of the European Commission. Country: ROMANIA Grant agreement no Contact details Name: Alida Turcanu adress: Telephone number: Fax number: Postal address: Romania, Bucharest, 16 th Libertatii Avenue, 5 th sector, postal code

2 CONTENTS PROJECT SYNOPSIS 1 PREAMBLE Aim of the project Technical Implementation Report purposes PLANNING AND WORK PROCEDURES Preparatory activities General methodological approach DEVELOPMENT OF THE PROJECT Documentary work Methods and methodology Adaptation of the Swedish model on calculation of road traffic performance indicators Method of calculation on the basis of Annual Average Daily Traffic ORGANIZATION & STAFF IMPLEMENTATION TABLE

3 Project Title: GRANT AGREEMENT FOR AN ACTION Support for road traffic statistics. Project Number: Country: Romania 1. PREAMBLE The Transport Statistics Project, referred to as <Project> in the report, is carried out in the framework of GRANT AGREEMENT FOR AN ACTION Support for road traffic statistics. The Annex II, Title V of the Five-Year Statistical Programme for the period 2008 to 2012, adopted under Decision No 1578/2007/EC of the European Parliament and the Council, the collection of traffic data expressed in vehicle-kilometres (Vkm) is emphasised as main initiative. In order to develop the road traffic statistics the information related to the variables collected has been transmitted to Eurostat during the 2007 pilot test exercise based on a questionnaire, carried out by the Task Force created according to the mandate from the members of the Coordination Committee for Statistics on Transport (CCST). During the pilot test, an inventory of the Romanian vehicle-kilometres variables compiled in accordance with the concepts, definitions and the defined methodological approaches at European level has been performed. Further extensive actions have been set out following this basic approach of vehicle-kilometres indicators, in order to comply with the requirements of this project at the extent possible. 1.1 Aim of the project Carried out by Transport Statistics Unit with the Business Statistics Directorate-General, the main purpose of this project is to create, maintain and consolidate a production process of road traffic indicators, with further improvements on the path. An important goal of the project is to produce, disseminate and provide the European Commission Eurostat with vehicle-kilometres statistics. As stipulated by Expected results of the action, the outcome of the project should consist of: -appropriate data sources identified and mobilised for the production of vehicle-kilometres indicators; -assessed and developed process of variables on road traffic statistics collection; -cooperation with the national organisations for development of actual data sources and procedures of compiling vkm statistics; - statistical data collected and disseminated in NIS publications; - Vkm variables filled in the UNECE and ITF (former CEMT) Common Questionnaire and provided Eurostat with, according to the recommended methodology. 1.2 Technical Implementation Report purposes Final technical implementation report is the report to be produced in accordance with point 2.Expected results from Technical Annex, Article 1.5- Submission on report and and other documents. The Final Implementation Report includes, as follows: - a brief presentation of the purposes of the project and of this report; - the actions set for the appropriate progress of the work, i.e. the organizational and general methodological approaches of the project; - the activities performed for statistical indicators calculation, i.e. preliminary documentary work and setting of the methodological approach. 4

4 2. PLANNING AND WORK PROCEDURES In order to develop activities to lead to the planned outcomes of the project, the work has to be prepared and appropriately organized. The coordination of tasks performing, as well as the suitable human resources management have been decisive for fulfilling the objectives of the project. During the early stages of the project had to be taken decisions related to the coherent performance of the project and established the methodological approach, as well as the teams carrying out the work. 2.1 Preparatory activities In accordance with the actions planned and the activities included the technical team has been constituted. The team includes mainly staff members with National Institute of Statistics (Section 4 ORGANIZATION & STAFF). A detailed work plan has been set out, comprising the activities to be carried out, the deadlines and staff resources. Periodic consultative meetings of the staff have been scheduled in order to monitor the progress and to identify the problems occurred during the development of the project. The meetings have been held for adopting the suitable solving measures for the emerged problems. 2.2 General methodological approach In order to acquire the expected results of the project the work has to be performed corresponding to a methodological approach to be set. Methodological approach main purpose is to establish a proper adjustment and compatibility of one established by the requirements of this project and that of national/ international practice adopted. For vehicle-kilometres indicators production, the E-Road Census carried out under the auspices of the UNECE is identified as the only existing international framework providing comparable data on traffic flows on main European roads on an all-european Basis. Vehicle-kilometres are the most important statistical measure to express the volume and development of traffic in a country. Figures on vehicle-kilometres are also indispensable in the context of calculations of traffic accidents and energy consumption. Data are expressed in vehicle-kilometres on all E-, as well as on all other roads of the total road network of the country to the extent possible. Romanian Traffic Census has been carried out in accordance with UNECE recomendation and specifications by National Company of Motorways and National, as main responsible authority for Traffic Census statistical ouput quality. For the purpose of this project, the objective of the E-Road Traffic Census of measurement of the vehicle performance of the Road network, expressed mainly in vehicle-kilometres, by the different categories of vehicles counted is taken into consideration. The vehicle categories are defined as following: Category A: Motor vehicles with not more than 3 wheels (motor cycles with or without sidecars, including motor scooters, and motor tricycles); Category B: Passenger and light goods vehicles (vehicles, including station wagons, with not more than nine seats, including the driver's seat, and light vans with a permissible maximum weight of not more than 3.5 tonnes). Passenger and light goods vehicles are recorded as such, irrespective of 5

5 whether they are with or without trailers, including caravans and recreational vehicles; Category C: Goods road vehicles (lorries with a permissible maximum weight of more than 3.5 tonnes, lorries with one or more trailers; tractors with semi-trailers; one or more trailers; tractors with one or more trailers and tractors without trailers or semi-trailers) and Special vehicles (agricultural tractors, special vehicles such as self-propelled rollers, bulldozers, mobile cranes and army tanks and other road motor vehicles not specified elsewhere); Category D: Motor buses, coaches and trolley buses Road network components are subsequent to the following methodology: E- (including the motorways classified on E- roads): The E-Road network referred to is that described in Annex I of the European Agreement on Main International Traffic Arteries (AGR) of 1975 and in Amendments 1-8 to the Agreement (ECE/TRANS/16/Amends.1-8) and in any other amendment which comes into force before Motorway Road, specially designed and built for motor traffic, which does not serve properties bordering on it, and which: (a) is provided, except at special points or temporarily, with separate carriageways for the two directions of traffic, separated from each other, either by a dividing strip not intended for traffic, or exceptionally by other means; (b) does not cross at level with any road, railway or tramway track, or footpath; (c) is specially sign-posted as a motorway and is reserved for specific categories of road motor vehicles. Other non-e roads Any other road which is not classified on E-roads. Using traffic census as data source, a different level of aggregation has to be achieved, in accordance with vehicle categories and types of roads required by the terms of this project in 2 Technical Specification of the Grant - Proposed tables for the collection of road traffic volumes in vkm: Vehicle category: - passenger cars - busses and coaches - freight vehicles - -> 3.5 tonnes; -< 3.5 tonnes. - motorcycles and mobds - other motorized vehicles - bycicles Type of roads: - motorways - roads within buil-up areas - roads outside build up areas - of wich on Trans-European Networks 6

6 3. DEVELOPMENT OF THE PROJECT 3.1 Documentary work In order to produce the vehicle-kilometers statistics, a preliminary activity of searching and analyzing the documentary information related to the theme have been carried out. It implied the study of Eurostat recommendations and the practice of other Member States on collecting the concerned statistical variables. The Glossary for Transport Statistics, third edition, as well as the available information related to data collection of transport by passenger cars in the Member States have been gathered. Other sources, i.e. international organizations and other countries expertise have been considered. Published works on the topic have been studied. The analysis of the methods and methodologies applied was also needed for the appropriate calculation of requested indicators. The outcome of the study consists of the inventory of definitions, methods and methodologies to be utilized for developing vehicle-kilometers statistics. As a result of assembling data collection basic information, the appropriate procedure for compiling the variables has been selected. The sources of statistical data have been identified. The approximations had to be assumed and corrected and the procedures of validation have been established. 3.2 Methods and methodology As we have experienced different levels of exposure and cooperation with National Company of National and Motorways at a certain timing of our working process, we dealt with two different methodological approaches: Adaptation of the Swedish model on calculation of road traffic performance indicators An adaptation of the Swedish model of calculating road traffic performance has been used, as we had the oportunity to benefit from the Swedish expertise on modeling the volume of road traffic and methodological guidance for VKM data production. Time series up to 2007 have been created, by modelling road traffic indicators, using the following data sources: traffic census data; - stock of vehicles at the end of the year ( )- used for estimation of traffic performance by vehicle category; - average annual rates indicating the VKM evolution by different types of roads, provided by National Company of Motorways and National (average annual rates by types of vehicles has been used only as a matter of reflection in total performance on a certain type of road). The method used: estimation on the basis of 2000 traffic counts data. 7

7 The aim was to: I. Calculate the base year( 2000) shares for each vehicle category: - motocycles and mobds - passenger cars - minibuses - buses and coaches - freight vehicles (global). II. Calculate the vehicle category shares for each year, originating from the base year shares, as resulted from 2000 traffic counts data; III. Calculate annual traffic mileage, on the basis of average growing rates of traffic on all types of roads; IV. Distribute the total mileage among vehicle types, on the basis of priviously calculated shares. I traffic census data offers valuable information on vehicle kilometres performed by vehicles category on types of roads: Mio vkm Total E-roads Other non-e roads Of witch, Non-E motorways Total vkm Motorcycles, bycicles and mobds Passenger cars +minibuses+light freight vehicles ( 3.5 t) Buses and coaches Heavy freight vehicles(> 3.5 t)+other motorized vehicles Problem 1: Methodologically, data for passenger cars are grouped together with freight vehicles bellow 3.5 tonnes and minibuses. As the level of agregation of 2000 census data is too high, the shares of 79,7% for passengers cars and 0,48% for minibuses in the total of vkm have been assumed, based on their shares in vehicles stock at the end of the year The remaining part was assumed as being vkm performed by light freight vehicles. Problem 2: As fleet of vehicles at national level does not reflect the number of light freight vehicles nor the number of heavy vehicles, but total of freight vehicles only, freight vehicles had to be treated globaly. Total mileage for this category has been calculated at point 6 of the following : 8

8 Categories 2000 % vkm Total ( ) 36993,3 1. Motorcycles and mobds 516, Passenger cars +minibuses+light freight vehicles (3+4+8) 28954, Passenger cars 23079, Minibuses 112, Buses and coaches 550, Freight vehicles (7+8) 12733, Heavy freight vehicles, (including other motorized vehicles) 6971, Light freight vehicles 5762, II. The calculation of vehicle category shares for each year, originating from the base year share, implies the idea that the change in vehicles stock for each category determine a new share of vkm: The formula used are the following: (1) α i, j = α 2000j (A i,j / A i,j ) (A 2000,j / A 2000,j ), A i,j number of vehicles in category j, year i, A i,j stock of vehicles at the and of year i A 2000,j / A 2000,j is kept constant for all years. Final values are calculated with the expression (2), to guarantee that the sum of proportions for different vehicles categories is equal to 1 for every year: (2) α i, j final = α i, j α i, j Motorcycles and mobds Buses and coaches Freight vehicles Stock of vehicles Total Cars Minibuses Formulas: A 2000,j / A 2000,j 1 0, , , , ,12258 A 2001,j / A 2001j 1 0, , , , ,12173 (A 2001,j / A 2001,j ) (A 2000,j / A 2000,j ) 0, , , , , α 2000,j 100 1,40 62,39 1,49 0,3 34,42 α 2001,j - initial 99,94 1,35 62,68 1,43 0,30 34,18 α 2001,j - adjusted, final 100 1,35 62,72 1,43 0,30 34,20 9

9 The distribution of final shares (%) for each have been calculated, as listed bellow: Categories/Period Motorcycles, bycicles and mobds 1,40 1,35 1,32 1,26 1,20 0,98 0,23 0,27 Passenger cars 62,39 62,72 63,01 63,15 63,28 63,98 65,35 65,39 Buses and coaches 1,49 1,43 1,38 1,29 1,22 1,02 0,84 0,78 Minibuses 0,30 0,30 0,29 0,32 0,34 0,32 0,31 0,31 Freight vehicles 34,42 34,20 34,00 33,98 33,96 33,70 33,27 33,25 III. Total average annual traffic change by type of roads for (million vkm): Problem 3: An assumption on how vehicle - kilometers are distributed among non European roads has been made, where length of road for each category has been used only, matter of lack of additional information at that timing of the project. 1. Calculation of annual mileage, based on average rates (%) on all types of roads for period , provided by National Company of Motorways and National : Categories (±) totals (Mio vkm) (±) Motorcycles bycicles and mobds (±) Cars +minibuses+light freight vehicles (< 3.5 t) (±) Buses and coaches (±) Heavy freight vehicles, others (> 3.5 t), including others Motorways 17,16% = 38,58 17,61% = 0,1 16,18% = 29,0 35,76 = 1,2 19,86% = 8,28 E-roads 4,02% = 479,78-4,84% = -1,57 3,64% = 344,89 14,73% =28,23 4,83% = 108,23 outside build up areas *) 2,31% = 344,54-4,03% = -3,76 1,99% = 234,43 10,23% = 23,9 3,21% = 89,93 within build up areas 1 *) -0,59% = -72,12 0-0,1%= - 9,58 1,49% = 2,63-2,8% = -65,17 within build up areas 2 *) 1,31% = 125,10 2,36% =4,34 2,29% = 169,71 5,9% = 8,09-3,17% = -57,05 Overall Change 1,18% = 436,12 0,13%= 0,7 1,5% = 423,57 6,5% = 35,86-0,35%= -24,01 *) outside build up areas are identified as national roads, roads inside build up areas are identified as urban roads (1) and rural roads (2). From t to t+1, the increase in road traffic components, as shown in the table above, lead to an increase of 1,18% in total mileage. Similarly, applying to year t+1 the same average growing rates (%) of traffic on types of roads, we have total mileage for t+2, and so on for all years, up to 2005: Year Total traffic change from t to t+5 Motorways outside build up areas within build up areas 1 within build up areas 2 E-roads 2000 (t) 36993,30 224, , , , ,20 % 1,18 17,16 2,31-0,59 1,31 4,02 ± 436,12 38,60 344, ,10 479, (t+1) 37429,42 263, , , , ,98 10

10 2002 (t+2) 37882,19 308, , , , , (t+3) 38352,95 361, , , , , (t+4) 38843,24 423, , , , , (t+5) 39354,83 496, , , , ,81 2. From , estimated growing rates on types of roads are changing on the basis of 2005 traffic counts data, and we have a total average increase of 6,9% from 2005 to Similarly, applying the same average growing rates of traffic on types of roads to 2006 data, we have the total mileage for Year Total traffic change from t to t+5 Motorways outside build up areas within build up areas 1 within build up areas 2 E-roads ,83 496, , , , ,81 % 6,91 12,99 11,36 1,72 3,76 12,99 ± 2551,43 64, ,24 206,26 382, , ,26 561, , , , , ,58 633, , , , ,88 IV. Total mileage is distributed among vehicle types, in relation with previously calculated shares: 2001 Share (%) Total (Mio.vkm) Motorways outside build up areas within build up areas E roads 100, ,42 263, , , ,98 Motorcycles, bycicles and mobds 1,35 505,30 3,56 205,93 295,81 167,67 Passenger cars 62, ,73 165, , , ,81 Buses and coaches 1,43 535,24 3,77 218,13 313,34 177,61 Minibuses 0,30 112,29 0,79 45,76 65,74 37,26 Freight vehicles 34, ,86 90, , , ,63 Similarly, VKM for all years, by types of roads and vehicle categories have been calculated: Freight vehicles over 3.5 tonnes have also been calculated. 1) Annual average rates indicating the change in freight vehicles over 3.5 tones( including other motorized vehicles) performance, by different types of roads have been calculated in order to get the average change from 2000 to 2001, and so on up to 2005; from 2005 onward different average rates have been used, according to the following table: 11

11 Freiht vehicles over 3,5 tonnes, including others Total vkm (mil.) Motorways outside build up areas within build up areas 1 within build up areas 2 E-roads , , , , ,8 % -0,34 19,86 3,21-2,8-3,17 4,83 ± -24,01 8,28 89,94-65,17-57,06 108, ,98 49, , , , , ,13 59,9 2984, , , , ,75 71, , , , , ,24 86, , , , , ,04 103, ,2 2019, , ,82 % 7,0 15,6 10,8 3,3 3,5 15,6 ± 490,88 16,09 354,37 66,64 53,78 442, ,92 119, , , , , ,67 137, , , , ,94 Should we have considered Survey on Road Transport of Goods as data source, vehicles over 3.5 tonnes performed their distance on national territory as part of international journeys, so national vehicles on national territory would be underestimated and national vehicles on international territory would be overestimated. This aspect compelled us to keep as available figures for traffic performance of total national vehicles only. 2) Vkm for freight vehicles bellow 3.5 tonnes, have been calculated as a difference between total vkm performed by freight vehicles and vkm for freight vehicles over 3.5 t, (including other motorized vehicles), previously calculated. Problem 4: 2005 indicators resulted from this evolving modelling of data have significant higher values that ones resulted from 2005 traffic counts Estimation on the basis of Annual Average Daily Traffic (AADT) By the end of April, in conformity with timetable of the project, data have been submitted to Eurostat. Similar table formats have been adapted and prepared for dissemination at national level on NIS behalf, and submitted to National Company of Motorways and National. This approach was aimed to involve the other party opinion in evaluating the relevance of estimated data. A valuable feed-back has been received, the main shortcomings of previously made assumption have been emphasized and also additional information have been delivered: 1) annual average daily traffic by vehicle category and types of roads, which would better complete the distribution of traffic volumes by types of road together with length of the roads (Problem 3) and would totally replace the distribution by types of vehicles previously made accordingly to their shares in vehicle stock. 2) Repartition of road traffic volumes for Category B, on the basis of average annual distance performed and 2004 (mid of period) vehicle stock data for concerned vehicle types: passenger cars, minibuses, light freight vehicles, which is again the right answer to Problem 1. 12

12 The problems of estimation we have anticipated during our first methodological approach have been detected and suggestions of more reliable assumptions have been made by National Company of Motorways and National. Estimations of data have been revised, in order to reflect a more accurate evolution of road traffic on public road network. I. It was agreed that both 2000 and 2005 should be considered base years, as data are in conformity with those delivered to CEE-UNECE in 2006 (problem 4 solved). II. Repartition of traffic volumes by types of roads and vehicle category for 2000 and 2005 have been made, in accordance with the segment length of road of a certain type and also in accordance with annual average daily traffic. Year Type of road Vehicle category Mio. vkm 2000 Category A Category B Category C Category D 2005 outside build up area 113, , ,49 310,96 inside build up area 1 210, , ,40 170,87 inside build up area 2 192, , ,00 60,84 Motorways 0,04 392,37 31,10 8,27 E roads 32, , ,80 191,70 outside build up area 110, , ,80 528,49 inside build up area 1 244, , ,89 179,93 inside build up area 2 165, ,98 880,46 82,87 Motorways 0,16 699,82 210,06 29,84 E roads 33, , ,20 391,60 13

13 Year Types of roads Lenght (L) of the network AADT, vehicles/24 hours Cat. A Cat. B Cat. C Cat. D Total Vehicles Total Mio vkm L x AADT x 365 x outside build up area , ,3 inside build up area , ,0 inside build up area , ,0 Motorways * 113,3 * ,8 * outside build up area , ,7 inside build up area , ,8 inside build up area , ,0 Motorways * 218,0 * ,9 * *) Motorway traffic included in total tarffic on roads outside build up area. III. For the reference years within period, interpolation method between 2000 and 2005 censuses data has been used, in order to determine road traffic performance by types of roads and vehicle categories, based on annual average rates of road traffic. Vr, v2005 Annual average rates have been determined using the formula r r, v = 5-1, where Vr, v2000 V = traffic volume, expressed in vehicle-kilometres v = vehicle category r = type of road The results of calculation of traffic mileage growth (indices) are shown in the table bellow: Type of road Vehicle category Categoria A Categoria B Categoria C Categoria D outside build up areas 0,9945 1,0240 1,0380 1,1115 inside build up areas 1 1,0305 0,9585 0,9700 1,0105 inside build up areas 2 0,9705 0,9670 0,9720 1,0635 Motorways 1,3095 1,1225 1,4400 1,2925 E roads 1,0075 1,0445 1,0655 1,1535 Data from t to t+1 has been calculated simply by multiplying with the correspondent index (r%+1) for the type of vehicle on a certain type of road, as listed bellow: 14

14 Category Year Total Of wich, E-roads Motorways outside build-up areas inside build-up areas 1 inside build-up areas 2 total vkm (mio.) 2000=t 36993, ,20 431, , , ,00 t , ,28 495, , , ,97 Category A 2000=t 516,60 32,60 0,04 113,60 210,30 192,70 t+1 516,76 32,84 0,05 112,98 216,71 187,02 Category B 2000=t 28954, ,10 392, , , ,52 t , ,74 440, , , ,65 Category C 2000=t 6970, ,80 31, , , ,00 t , ,57 44, , ,13 985,61 Category D 2000=t 550,94 191,70 8,27 310,96 170,87 60,84 t+1 593,69 221,13 10,69 345,64 172,66 64,70 Repartition of road traffic volumes for Category B, on the basis of average annual distance performed and 2004 (mid of period) vehicle stock data for concerned vehicle types: passenger cars, minibuses, light freight vehicle have been made accordingly: Vehicle category Passenger cars Minibuses Light freight vehicles Stock, Annual distance driven, , km Traffic performance, mil.veh x km Share of traffic performance (%) 94,6 2,6 2,8 Source: Evolution of structure and mobility of stock of vehicles for BOMACO Study, 2005 Year Total Of wich, E-roads Motorways outside build-up areas inside build-up areas 1 inside build-up areas 2 Category B 2000=t 28954, ,10 392, , , ,52 t , ,74 440, , , ,65 Passenger cars 2000=t 27391, ,44 371, , , ,64 t , ,32 416, , , ,32 Minibuses 2000=t 752,82 246,35 10,20 391,16 241,26 110,20 t+1 749,81 257,32 11,45 400,55 231,25 106,56 Light freight vehicles 2000=t 810,73 265,30 10,99 421,25 259,82 118,68 t+1 807,49 277,11 12,33 431,36 249,04 114,76 Distribution of total mileage for passenger cars by fuel types, was made in accordance with number of new registered cars and the type of fuel they use, no additional information being available for the moment: 15

15 Period New registered cars - shares on fuel types (%) gas diesel ,04 11, ,62 15, ,93 18, ,20 21, ,60 38, ,90 44,10 Data for buses and coaches have been displayed together, but separately obtained from others, methodologically identified as minibuses. IV. For the reference years within , annual average evolution rates previously delivered by National Company of Motorways and National, as listed bellow, have been used, in a very similar way. Average annual rates for (%): Type of road Vehicle category Categoria A Categoria B Categoria C Categoria D outside build up areas inside build up areas inside build up areas Motorways E roads Data produced are to be corrected and adjusted in 2011, after 2010 traffic counts being carried out. Conclusion: It has been agreed that data obtained on the basis of Annual Average Daily Traffic are the Final result of the project, as we consider the data being correct and reliable. The calculation of this data enabled us to partially fill the following tables attached: Table 1. Road traffic by type of vehicle, mio.vehicle-kilometres Table 2. Road traffic on national territory by type of vehicle and type of road, mio.vehicle-kilometres. Other tables and formats are impossible for us to complete for the moment. 16

16 Future approach of the process: Further concern is foreseen in order to cooperate in the same productive manner with other national authorities for development of data sources and procedures of compiling the remaining indicators required by Eurostat. Data for the refference year 2008 are about to be compiled, vkm variables are to be filled in the UNECE and ITF (former CEMT) Common Questionnaire and provided Eurostat with, according to the recommended methodology. 4. Organization & staff Staff resources The team is composed of: Technical staff: Florica Mazilu, Director Business Statistics Directorate Virginia Balea, Deputy Director - Business Statistics Directorate Mariana Bereş, Cheaf of Transport Statistics Unit; Maria Zisu Expert with road transport statistics, from Transport Statistics Unit Alida Turcanu Project Manager, Expert with Transport Statistics Unit Carmen Mihălcioiu - Expert with Transport Statistics Unit Anca Sîrbu - Expert with Transport Statistics Unit Andreea Pătulea Assistent with Transport Statistics Unit Elena Leonte Expert with Business Statistics Istrate Eugen - Expert With Business Statistics Administrative support staff Bogdan Popescu, Counselor - European Affairs and International Cooperation Eleonora Dumitrascu, Counselor - European Affairs and International Cooperation 17

17 5. Implementation timetable 1.Preparation of the project documentary work on Member State experience in producing road traffic indicators inventory of NIS available data sources redesigning of NIS statistical surveys in order to compile Vkm variables 2. Obtaining data from administrative sourcesfleet of vehicles on December the 31 th and other sources: NIS publications, traffic counts. September-November 2008 September October November December-January Setting the appropriate calculation methods for road traffic indicators and comparison with indicators from other sources February-March 4. Eurostat data transmission in accordance with data structure and format required by the terms of this project 5. Data dissemination in NIS publication April May-June 18