DRIVING PATTERN, EXHAUST EMISSION AND FUEL CONSUMPTION OVER A STREET NETWORK

The driving patterns, i.e. the speed and acceleration profiles, of vehicles are known to affect the exhaust emission and fuel consumption to a large extent. In this investigation driving pattern was studied for a whole street network in an observational study. Data were collected using five measuring cars that were driven by 29 randomly chosen families for two weeks each. The cars were equipped with data-logging devices that enabled studies of the speed and acceleration patterns of the vehicles as well as engine speed and gear changing behaviour. For connection to external conditions, co-ordinates for position were registered using global positioning system (GPS) receivers. The GPS co-ordinates were matched to a digitised map to which detailed street information had been attributed. A descriptive analysis of driving patterns on 21 street types, formed by different street functions, types of area, speed limit and number of lanes, was accomplished including altogether more than 14000 driving patterns. For a subset of about 4000 driving patterns the exhaust emission factors (g/km) and fuel consumption factor (litres/10 km) were calculated for 10 street types. By aggregating driving patterns and modelled emissions over street types, it was possible to describe a large set of driving pattern parameters including speed, acceleration, power use and engine speed as well as hot, stabilised fuel consumption factors and exhaust emission factors for different street and traffic environments. On top of the emission per vehicle km, the total emission in different types of streets is of importance. To explore this, the emission factors for each street type were multiplied by the total vehicle mileage for that particular type of street. The paper serves as an illustration of the fact that driving pattern and emission factors vary over the street network. It can be concluded that traffic environments which produce high emissions per vehicle km is not always similar to those who cause the overall highest amount of emissions and fuel consumption. For the covering abstract see ITRD E122175.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/3901351590
• Corporate Authors:

  GRAZ UNIVERSITY OF TECHNOLOGY

  INFFELDGASSE 25
  GRAZ,   Austria  A-8010
• Authors:
  • ERICSSON, E
• Publication Date: 2002

Language

• English

Media Info

• Features: References;
• Pagination: p. 331-40
• Serial:
  • PROCEEDINGS OF 11TH INTERNATIONAL SYMPOSIUM, TRANSPORT AND AIR POLLUTION, HELD GRAZ UNIVERSITY OF TECHNOLOGY, AUSTRIA, 19-21 JULY 2002
  • Volume: I
  • Publisher: GRAZ UNIVERSITY OF TECHNOLOGY

Subject/Index Terms

• TRT Terms: Acceleration (Mechanics); Automobiles; Behavior; Conferences; Driving; Fuel consumption; Mathematical models; Pollutants; Speed
• ITRD Terms: 5405: Acceleration; 9001: Behaviour; 1243: Car; 8525: Conference; 1855: Driving (veh); 2442: Emission; 232: Fuel consumption; 6473: Mathematical model; 5408: Speed
• Subject Areas: Data and Information Technology; Energy; Environment; Safety and Human Factors;

Filing Info

• Accession Number: 00981164
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• ISBN: 3-901351-59-0
• Files: ITRD
• Created Date: Nov 3 2004 12:00AM