SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Kosun C, Ozdemir S. Traffic Injury Prev. 2017; 18(4): 441-447.

Affiliation

Artificial Iytelligence & Design Lab., Department of Mechanical Engineering , Izmir Institute of Technology , 35430 Urla , Izmir , Turkey , e-mail: serhanozdemir@iyte.edu.tr.

Copyright

(Copyright © 2017, Informa - Taylor and Francis Group)

DOI

10.1080/15389588.2016.1204446

PMID

27603156

Abstract

OBJECTIVES: As a novelty, this paper proposes the nonadditive entropy framework for the description of driver behaviors during lane changing. The authors also state that this entropy framework governs the lane changing behavior in traffic flow in accordance with the long-range vehicular interactions and traffic safety.

METHODS: Nonadditive entropy framework has been the new generalized theory of thermo-statistical mechanics. Vehicular interactions during lane changing are considered within this framework. The interactive approach for the lane changing behavior of the drivers is presented in the given traffic flow scenarios of the paper. According to the traffic flow scenarios, four categories of traffic flow and driver behaviors are obtained. Through the scenarios, the comparative analyses of nonadditive and additive entropy domains are also provided.

RESULTS: Two quadrants of the categories belong to the nonadditive entropy, the rest are involved in the additive entropy domain. Driving behaviors are extracted and the scenarios depict that nonadditivity matches safe driving well, whereas additivity corresponds to unsafe driving. Furthermore, the cooperative traffic system is considered in nonadditivity where the long-range interactions are present. However, the uncooperative traffic system falls into additivity domain. The analyses also state that there would be possible traffic flow transitions among the quadrants. This paper shows that lane changing behavior could be generalized as nonadditive, having additivity as a special case, based on the given traffic conditions.

CONCLUSIONS: The nearest and close neighbor models are well within the conventional additive entropy framework. In this paper, both the long-range vehicular interactions and safe driving behavior in the traffic are handled in the nonadditive entropy domain. It is also inferred that Tsallis entropy region would correspond to mandatory lane changing behavior, whereas additive and either extensive or nonextensive (Boltzmann-Gibbs) entropy region would match discretionary lane changing behavior. This paper states that behaviors of drivers would be in nonadditive entropy domain to provide safe traffic stream, and hence a vehicle accident prevention in mind.


Language: en

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print