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Driving pattern in urban areas - descriptive analysis and initial prediction model

Ericsson, Eva LU (2000) In Bulletin 185 / 3000 Bulletin 185.
Abstract
Driving pattern, i.e. the speed profiles of vehicles, was studied in connection with variables in the driver-car-environment system. 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. For connection to external conditions co-ordinates for positions were registered with global positioning system (GPS) receivers.

The GPS co-ordinates were matched to a digitised map to which detailed street parameters, such as street function, speed limit, width, and traffic flow had been attributed. A descriptive... (More)
Driving pattern, i.e. the speed profiles of vehicles, was studied in connection with variables in the driver-car-environment system. 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. For connection to external conditions co-ordinates for positions were registered with global positioning system (GPS) receivers.

The GPS co-ordinates were matched to a digitised map to which detailed street parameters, such as street function, speed limit, width, and traffic flow had been attributed. A descriptive analysis of driving patterns on 21 street types was accomplished. A large set of driving pattern measures including speed, acceleration, power use, engine speed, and gear changing

behaviour are reported for different street types. Further, a cause effect model for the variation of driving patterns was estimated. The model included effects of driver characteristics, car performance and street environment as well as some important interactions between variables. The model was found to predict the variation of speed with acceptable explanatory power. For other driving pattern measures significant effects were estimated for street type as well as driver variables. However, the explanatory power was low; the reasons for this are discussed, and bases for new model structures are outlined. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Book/Report
publication status
published
subject
in
Bulletin 185 / 3000
volume
Bulletin 185
pages
77 pages
publisher
Lunds universitet, instutionen för teknik och samhälle, trafik och väg
external identifiers
  • other:CODEN LUTVDG/(TVTT-3156)/1-77/(2000)
ISSN
1404-272X
language
English
LU publication?
yes
id
5ae421b7-a263-4500-b666-4299561b1241 (old id 627123)
date added to LUP
2008-11-11 16:32:40
date last changed
2016-04-16 04:29:53
@techreport{5ae421b7-a263-4500-b666-4299561b1241,
  abstract     = {Driving pattern, i.e. the speed profiles of vehicles, was studied in connection with variables in the driver-car-environment system. 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<br/><br>
vehicles as well as engine speed and gear changing. For connection to external conditions co-ordinates for positions were registered with global positioning system (GPS) receivers.<br/><br>
The GPS co-ordinates were matched to a digitised map to which detailed street parameters, such as street function, speed limit, width, and traffic flow had been attributed. A descriptive analysis of driving patterns on 21 street types was accomplished. A large set of driving pattern measures including speed, acceleration, power use, engine speed, and gear changing<br/><br>
behaviour are reported for different street types. Further, a cause effect model for the variation of driving patterns was estimated. The model included effects of driver characteristics, car performance and street environment as well as some important interactions between variables. The model was found to predict the variation of speed with acceptable explanatory power. For other driving pattern measures significant effects were estimated for street type as well as driver variables. However, the explanatory power was low; the reasons for this are discussed, and bases for new model structures are outlined.},
  author       = {Ericsson, Eva},
  institution  = {Lunds universitet, instutionen för teknik och samhälle, trafik och väg},
  issn         = {1404-272X},
  language     = {eng},
  pages        = {77},
  series       = {Bulletin 185 / 3000},
  title        = {Driving pattern in urban areas - descriptive analysis and initial prediction model},
  volume       = {Bulletin 185},
  year         = {2000},
}