Analysis of Driver Behaviour at Roundabouts in Tokyo and the Tokyo Surroundings

2019 ◽  
pp. 216-227
Author(s):  
Elżbieta Macioszek
Keyword(s):  
Driver Behaviour

Driver Behaviour Questionnaire--Bulgarian and Serbian Versions

2018 ◽  
Author(s):  
Predrag Stanojević ◽  
Timo Lajunen ◽  
Dragan Jovanović ◽  
Paul Sârbescu ◽  
Svilen Kostadinov
Keyword(s):  
Driver Behaviour

Manchester Driver Behaviour Questionnaire--Malay Version

2019 ◽  
Author(s):  
Boon Hong Ang ◽  
Won Sun Chen ◽  
Shaun Wen Lee
Keyword(s):  
Driver Behaviour

scholarly journals Exploratory Analysis of Pedestrian Road Trauma in Finland

2021 ◽  
Vol 13 (12) ◽  
pp. 6715
Author(s):  
Steve O’Hern ◽  
Roni Utriainen ◽  
Hanne Tiikkaja ◽  
Markus Pöllänen ◽  
Niina Sihvola
Keyword(s):  
Cluster Analysis ◽  
Motor Vehicle ◽  
Seasonal Effects ◽  
Unique Element ◽  
Driver Behaviour ◽  
Crash Data ◽  
Safety Issues ◽  
Key Issues ◽  
Development Goals ◽  
Pedestrian Crashes

In Finland, all fatal on-road and off-road motor vehicle crashes are subject to an in-depth investigation coordinated by the Finnish Crash Data Institute (OTI). This study presents an exploratory and two-step cluster analysis of fatal pedestrian crashes between 2010 and 2019 that were subject to in-depth investigations. In total, 281 investigations occurred across Finland between 2010 and 2019. The highest number of cases were recorded in the Uusimaa region, including Helsinki, representing 26.4% of cases. Females (48.0%) were involved in fewer cases than males; however, older females represented the most commonly injured demographic. A unique element to the patterns of injury in this study is the seasonal effects, with the highest proportion of crashes investigated in winter and autumn. Cluster analysis identified four unique clusters. Clusters were characterised by crashes involving older pedestrians crossing in low-speed environments, crashes in higher speed environments away from pedestrian crossings, crashes on private roads or in parking facilities, and crashes involving intoxicated pedestrians. The most common recommendations from the investigation teams to improve safety were signalisation and infrastructure upgrades of pedestrian crossings, improvements to street lighting, advanced driver assistance (ADAS) technologies, and increased emphasis on driver behaviour and training. The findings highlight road safety issues that need to be addressed to reduce pedestrian trauma in Finland, including provision of safer crossing facilities for elderly pedestrians, improvements to parking and shared facilities, and addressing issues of intoxicated pedestrians. Efforts to remedy these key issues will further Finland’s progression towards meeting Vision Zero targets while creating a safer and sustainable urban environment in line with the United Nations sustainable development goals.

scholarly journals A systematic review of definitions of motor vehicle headways in driver behaviour and performance studies

2021 ◽  
Vol 77 ◽  
pp. 38-54
Author(s):  
Raaj Kishore Biswas ◽  
Rena Friswell ◽  
Jake Olivier ◽  
Ann Williamson ◽  
Teresa Senserrick
Keyword(s):  
Systematic Review ◽  
Performance Studies ◽  
Motor Vehicle ◽  
Driver Behaviour ◽  
And Performance

Simulation of Driver Behaviour in Heterogeneous Untidy Traffic in Developing Countries

2001 ◽  
Author(s):  
Sonal Ahuja
Keyword(s):  
Developing Countries ◽  
Driver Behaviour ◽  
Traffic Condition ◽  
Driver Response ◽  
Link Performance ◽  
Optimum Response ◽  
Slow Moving ◽  
Driver Aggression ◽  
Relationship Of ◽  
Simulation Package

Abstract This paper describes the research attempt to understand driver behaviour in heterogeneous, untidy traffic in developing countries through simulation. Cities of Dhaka, Bangkok and Delhi were identified as three case study areas where traffic surveys were conducted and driver behaviour analysed. The paper tries to quantify the level of ‘aggressiveness’ in a particular driver-vehicle environment and proposes a simulation package to understand it. A modified Tetris approach has been developed to simulate heterogeneous and untidy traffic. The study looks into the relationship of varying driver typologies, based on age and their relative aggression levels associated with trips and vehicle typologies in the three case locations. It proposes a simulation package to generate varying driver responses in context of slow moving and untidy traffic. The study reveals that age, and driver experiences are a significant factor in determining level of driver aggression. The driver response in a particular environment is a system optimum response of his individual state, in relation to the performance of system’s ‘driver-vehicle environment’. The study concludes that while heterogeneous and mixed traffic increases vehicle delays, and stops at the signalised links, untidy traffic reduces it. The combined effect of heterogeneity and untidiness cancel each other. The simulation reveals that segregation of traffic based on vehicular typologies and speeds leads to optimisation of link performance and environment. The research proposes a simulation model that can accurately simulate mixed, slow moving, and untidy traffic condition with varying degree of driver aggression and recommends its applications.

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