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A comparative study between vehicle activated signs and speed indicator devices
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0001-6526-6537
Dalarna University, School of Technology and Business Studies, Computer Engineering.
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2017 (English)In: Transportation Research Procedia, ISSN 2324-9935, E-ISSN 2352-1465, Vol. 22, 115-123 p.Article in journal (Refereed) Published
Abstract [en]

Vehicle activated signs and Speed indicator devices are safety signs used to warn and remind drivers that they are exceeding the speed limit on a particular road segment. This article has analysed and compared such signs with the aim of reporting the most suitable sign for relevant situations. Vehicle speeds were recorded at different test sites and the effects of the signs were studied by analyzing the mean and standard deviation. Preliminary results from the work indicate that both types of signs have variable effects on the mean and standard deviation of speed on a given road segment. Speed indicator devices were relatively more effective than vehicle activated signs on local roads; in contrast their effectivity was only comparable when tested on highways.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 22, 115-123 p.
Keyword [en]
vehicle activated signs; speed indicator devices; trigger speed; effect on drivers
National Category
Computer and Information Science
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-21502DOI: 10.1016/j.trpro.2017.03.017ISI: 000404633300012Scopus ID: 2-s2.0-85019409576OAI: oai:DiVA.org:du-21502DiVA: diva2:931709
Conference
19th EURO Working Group on Transportation Meeting, EWGT2016, 5-7 September 2016, Istanbul, Turkey
Available from: 2016-05-30 Created: 2016-05-30 Last updated: 2017-07-31Bibliographically approved
In thesis
1. A data driven approach for automating vehicle activated signs
Open this publication in new window or tab >>A data driven approach for automating vehicle activated signs
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Vehicle activated signs (VAS) display a warning message when drivers exceed a particular threshold. VAS are often installed on local roads to display a warning message depending on the speed of the approaching vehicles. VAS are usually powered by electricity; however, battery and solar powered VAS are also commonplace. This thesis investigated devel-opment of an automatic trigger speed of vehicle activated signs in order to influence driver behaviour, the effect of which has been measured in terms of reduced mean speed and low standard deviation. A comprehen-sive understanding of the effectiveness of the trigger speed of the VAS on driver behaviour was established by systematically collecting data. Specif-ically, data on time of day, speed, length and direction of the vehicle have been collected for the purpose, using Doppler radar installed at the road. A data driven calibration method for the radar used in the experiment has also been developed and evaluated.

Results indicate that trigger speed of the VAS had variable effect on driv-ers’ speed at different sites and at different times of the day. It is evident that the optimal trigger speed should be set near the 85th percentile speed, to be able to lower the standard deviation. In the case of battery and solar powered VAS, trigger speeds between the 50th and 85th per-centile offered the best compromise between safety and power consump-tion. Results also indicate that different classes of vehicles report differ-ences in mean speed and standard deviation; on a highway, the mean speed of cars differs slightly from the mean speed of trucks, whereas a significant difference was observed between the classes of vehicles on lo-cal roads. A differential trigger speed was therefore investigated for the sake of completion. A data driven approach using Random forest was found to be appropriate in predicting trigger speeds respective to types of vehicles and traffic conditions. The fact that the predicted trigger speed was found to be consistently around the 85th percentile speed justifies the choice of the automatic model.

Place, publisher, year, edition, pages
Borlänge: Högskolan Dalarna, 2016
Series
Dalarna Doctoral Dissertations, 4
Keyword
Optimal trigger speed, vehicle activated sign, mean speed, standard deviation, calibration, driver behaviour, data driven approach, automatic model
National Category
Computer and Information Science
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-21504 (URN)978-91-89020-96-2 (ISBN)
Available from: 2016-05-30 Created: 2016-05-30 Last updated: 2016-05-30Bibliographically approved

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Citation style
  • apa
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More styles
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  • Other locale
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Output format
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