Powered two wheelers’ workload assessment with various methods using a motorcycle simulator

Will, Sebastian; Schmidt, Eberhard

doi:10.1049/iet-its.2014.0231

Cited by 10 publications

(10 citation statements)

References 30 publications

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“…Therefore, such a research area’s sluggish development is still an issue [ 178 ]. Expired data and incomplete, short time periods provide insufficient style representations [ 118 , 119 ]. The incomplete datasets affect the adjustment process’ accuracy.…”

Section: Discussionmentioning

confidence: 99%

“…Another reason is to improve the driving performance of motorcyclists, identify the causes behind motorcycle accidents [ 50 , 157 ], promote road safety [ 25 , 38 , 54 , 76 , 94 , 121 , 152 , 154 , 185 , 186 ], reduce motorcycle fatalities [ 108 , 159 ], avoid accidents [ 51 , 110 ], and improve road safety education amongst all motorcyclists [ 53 , 99 ]. Others looked into safety from different perspectives, such as improved traffic system safety [ 18 , 187 , 188 ] and motorcycle safety [ 76 , 78 , 92 , 97 , 119 , 123 , 127 , 162 , 165 , 173 , 179 , 180 , 189 , 190 , 191 , 192 ]. Moreover, effective hazard detection is critical for hazard elimination and accident consequence reduction [ 81 , 118 ], the identification of possible hazards in their early stages before causing accidents [ 155 ], and the reduction in the probability of severe injuries [ 84 , 98 , 139 , 151 ].…”

Section: Discussionmentioning

confidence: 99%

“…Data are an essential element of research. Some studies recommended more data collection by using other statistical methods of data collection [ 118 , 119 ] and integrating databases of road geometric and operational attributes and traffic violations [ 160 ]. Data can be obtained by either web- or application-based surveys [ 66 ], by using GPS devices to track actual distances [ 15 ], and by providing more drivers’ information [ 168 ].…”

Section: Discussionmentioning

confidence: 99%

“…The second subcategory of the experimental study is simulation tests. This category refers to articles that utilised a simulator for data collection to determine the factors that are related to driver behaviour [ 118 , 119 , 120 , 121 ], used chassis dynamometers with the standard driving cycle and onboard portable emission measurement systems in real-world driving conditions [ 122 , 123 , 124 ], the MOTORIST riding simulator [ 125 ], the mid-range simulator located at the Monash University Accident Research Centre [ 126 ], and moving-based motorcycle simulators comprising a motion platform, sound system, screen projection, and image-generation software [ 127 , 128 , 129 , 130 , 131 ]. One study attempted to estimate the impact of low BAC on the riding performance of motorcycle drivers by utilising an advanced motorcycle-riding simulator [ 132 ].…”

Section: Taxonomymentioning

confidence: 99%

See 3 more Smart Citations

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

Abdulwahid

Mahmoud

Zaidan

et al. 2022

IJERPH

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With the continuous emergence of new technologies and the adaptation of smart systems in transportation, motorcyclist driving behaviour plays an important role in the transition towards intelligent transportation systems (ITS). Studying motorcyclist driving behaviour requires accurate models with accurate and complete datasets for better road safety and traffic management. As accuracy is needed in modelling, motorcyclist driving behaviour analyses can be performed using sensors that collect driving behaviour characteristics during real-time experiments. This review article systematically investigates the literature on motorcyclist driving behaviour to present many findings related to the issues, problems, challenges, and research gaps that have existed over the last 10 years (2011–2021). A number of digital databases (i.e., IEEE Xplore®, ScienceDirect, Scopus, and Web of Science) were searched and explored to collect reliable peer-reviewed articles. Out of the 2214 collected articles, only 174 articles formed the final set of articles used in the analysis of the motorcyclist research area. The filtration process consisted of two stages that were implemented on the collected articles. Inclusion criteria were the core of the first stage of the filtration process keeping articles only if they were a study or review written in English or were articles that mainly incorporated the driving style of motorcyclists. The second phase of the filtration process is based on more rules for article inclusion. The criteria of inclusion for the second phase of filtration examined the deployment of motorcyclist driver behaviour characterisation procedures using a real-time-based data acquisition system (DAS) or a questionnaire. The final number of articles was divided into three main groups: reviews (7/174), experimental studies (41/174), and social studies-based articles (126/174). This taxonomy of the literature was developed to group the literature into articles with similar types of experimental conditions. Recommendation topics are also presented to enable and enhance the pace of the development in this research area. Research gaps are presented by implementing a substantial analysis of the previously proposed methodologies. The analysis mainly identified the gaps in the development of data acquisition systems, model accuracy, and data types incorporated in the proposed models. Finally, research directions towards ITS are provided by exploring key topics necessary in the advancement of this research area.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Taxonomymentioning

confidence: 99%

See 2 more Smart Citations

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

Abdulwahid

Mahmoud

Zaidan

et al. 2022

IJERPH

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“…Electric bicycle has become a popular travel tool due to the advantages of mobility, flexibility, and environmental protection [1]. However, it also brings along traffic safety problems.…”

Section: Introductionmentioning

confidence: 99%

Exploring Factors Associated with Cyclist Injury Severity in Vehicle-Electric Bicycle Crashes Based on a Random Parameter Logit Model

Wang

Cheng

et al. 2021

Journal of Advanced Transportation

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Electric bicyclists are vulnerable road users and play an important role in traffic safety. The focus of this research is on analyzing cyclists’ injury severity in vehicle-electric bicycle collisions. It is an exploratory analysis that was conducted based on samples obtained from video data provided by the police of Xi’an China. Three types of severity include fatal, injury, and property-damage-only (PDO). A random parameter logit (RPL) model was specified to gain more insights into factors related to the injury severity level, including human behaviors, vehicle characteristics, roadway attributes, and environmental conditions. Some factors not included in previous research were introduced into this study, especially precrash behaviors of drivers and cyclists. The direct pseudo-elasticity effects of variables were compared to investigate the stability of individual parameter estimates on the severity categories. The results indicated that variables that significantly increment the probability of fatal accidents were as follows: driver violation behaviors (speeding, red-light violation, driving in the opposite direction), cyclist violation behaviors (speeding, red-light violation), day of time (nighttime), visibility restrictions (fixed obstacles), and vehicle type (larger bus, small truck, and larger truck). Based on these findings, we suggested measures such as strengthening law enforcement by installing cameras, implementing zero tolerance for cyclist violations, promoting education by completing training courses for cyclists, and enhancing traffic safety awareness through educational activities. The research results can provide a theoretical basis for formulating strategies to improve cyclist safety.

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Powered two-wheeler riding behavior and strategies to improve safety: A review

Chouhan,

Kathuria,

Chalumuri

2024

Journal of Traffic and Transportation Engineering (English Edit

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Powered two wheelers’ workload assessment with various methods using a motorcycle simulator

Cited by 10 publications

References 30 publications

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

Exploring Factors Associated with Cyclist Injury Severity in Vehicle-Electric Bicycle Crashes Based on a Random Parameter Logit Model

Powered two-wheeler riding behavior and strategies to improve safety: A review

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