Academic literature on the topic '…Powered Two Wheeler (PTW)'
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Journal articles on the topic "…Powered Two Wheeler (PTW)"
Perco, Paolo. "Comparison between Powered Two-Wheeler and Passenger Car Free-Flow Speeds in Urban Areas." Transportation Research Record: Journal of the Transportation Research Board 2074, no. 1 (January 2008): 77–84. http://dx.doi.org/10.3141/2074-10.
Full textRamnath, B. Vijaya, K. Venkataraman, Selvaraj Venkatram, Sohil Thomas, Muthukumarasamy Maheshwaran, and N. Dinesh. "Powered Two-Wheeler with Integrated Safety Using Recurdyn Multi-Body Dynamics." Applied Mechanics and Materials 591 (July 2014): 193–96. http://dx.doi.org/10.4028/www.scientific.net/amm.591.193.
Full textG. Kumaresh, T. Lich, A. Skiera, and J. Moennich. "Benefit Mapping of Anti-Lock Braking System for Motorcycles from India to Indonesia." Journal of the Society of Automotive Engineers Malaysia 1, no. 2 (May 1, 2017): 166–78. http://dx.doi.org/10.56381/jsaem.v1i2.19.
Full textDiop, Mohamed, Abderrahmane Boubezoul, Latifa Oukhellou, and Stéphane Espié. "Powered Two-Wheeler Riding Profile Clustering for an In-Depth Study of Bend-Taking Practices." Sensors 20, no. 22 (November 23, 2020): 6696. http://dx.doi.org/10.3390/s20226696.
Full textLecoublet, Brieg, Yvan Petit, Eric Wagnac, Dominic Boisclair, and Pierre-Jean Arnoux. "Neck Braces and Driving Posture Affect Neck Mobility on Powered Two-Wheelers." Promet - Traffic&Transportation 33, no. 3 (May 31, 2021): 337–45. http://dx.doi.org/10.7307/ptt.v33i3.3687.
Full textJalti, Fakhreddine, Bekkay Hajji, Alberto Acri, and Michele Calì. "An Advanced Rider-Cornering-Assistance System for PTW Vehicles Developed Using ML KNN Method." Sensors 23, no. 3 (January 31, 2023): 1540. http://dx.doi.org/10.3390/s23031540.
Full textSætren, Gunhild Birgitte, Petter Helmersen Bogfjellmo, and Jan Petter Wigum. "Competition and its potential negative effect on safety in powered two-wheeler (PTW) training seen from a system perspective." Research in Transportation Economics 82 (October 2020): 100881. http://dx.doi.org/10.1016/j.retrec.2020.100881.
Full textTerranova, Paolo, Morgan E. Dean, Cosimo Lucci, Simone Piantini, Trevor J. Allen, Giovanni Savino, and Hampton C. Gabler. "Applicability Assessment of Active Safety Systems for Motorcycles Using Population-Based Crash Data: Cross-Country Comparison among Australia, Italy, and USA." Sustainability 14, no. 13 (June 21, 2022): 7563. http://dx.doi.org/10.3390/su14137563.
Full textWill, Sebastian, Claudia Luger-Bazinger, Marcus Schmitt, and Cornelia Zankl. "Towards the Future of Sustainable Mobility: Results from a European Survey on (Electric) Powered-Two Wheelers." Sustainability 13, no. 13 (June 25, 2021): 7151. http://dx.doi.org/10.3390/su13137151.
Full textBracali, Andrea, and Niccolò Baldanzini. "Estimation of Head Accelerations in Crashes Using Neural Networks and Sensors Embedded in the Protective Helmet." Sensors 22, no. 15 (July 26, 2022): 5592. http://dx.doi.org/10.3390/s22155592.
Full textDissertations / Theses on the topic "…Powered Two Wheeler (PTW)"
Smaiah, Sarra. "Système de reconstruction de trajectoire pour véhicules deux roues motorisés." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASS022.
Full textThe drivers of Powered Two Wheels vehicles are considered among the most vulnerable road users, as attested by the number of crashes increasing every year. The significant part of mortalities related to single vehicle “without identifying a third party” is related to the loss of control in bends. These thesis work is based on an instrumented motorcycle platform with a multi-sensor system. We have proposed algorithms to accurately reconstruct motorcycle trajectories achieved when negotiating bends. This system is intended to objectively evaluate and examine the behavior of drivers when negotiating bends in order to better train them. The goal is to lead them to adopt a safe trajectory in order to improve the road safety. Data required for the trajectory reconstruction are acquired using an instrumented motorcycle embedding several redundant sensors (reference sensors and low-cost sensors) that measure the rider’s actions (roll, steering) and the motorcycle behavior (position, velocity, acceleration, odometry, heading and attitude). This work is a part of the ARN project VIROLO++. The solution we have proposed allows to reconstruct bikes trajectories in bends with acceptable accuracy. The developed algorithm will be used to objectively evaluate and examine how riders negotiate bends. The embedded system carrying this algorithm can be used for the initial training and retraining in order to better train motorcycle drivers to estimate a safe trajectory and thus ensure safety when taking bends
Broughton, Paul Stephen. "Risk and enjoyment in powered two wheeler use." Thesis, Edinburgh Napier University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506326.
Full textFouka, Majda Amina Aida. "Contributions for parametric identification and observation of powered two-wheeler vehicles." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLE033/document.
Full textNowadays, Powered Two-Wheeled Vehicles (PTWV) are an increasingly popular means of transport in daily urban and rural displacements, especially for the possibilities it offers to avoid traffic congestion. However, riders are considered as the most vulnerable road users. In fact, the risk of being killed in an accident is $29$ times higher for a motorcycle than for a driver of a four wheeled vehicle. Therewith, the unstable nature of the PTWV makes them more susceptible to control loss. This problem is even more complex during emergency braking or on cornering maneuvers. As matter of fact, passive and active safety systems (Anti-Lock Braking (ABS), Electronic Stability Control (ESP), seat belts, airbags) developed in favour of passenger vehicles have largely contributed to the reduction of risks on the road. However, the delay in the development of security systems for motorcycles is notable. Moreover, despite some existing systems, motorcycle riders use them badly or they don't use them at all. Therefore, it is not trivial that this delay, in the development of Advanced Rider Assistance Systems (ARAS), coming from a delay in the development of theoretical and research tools. This thesis fits into the context of designing ARAS for PTWV that can alert riders upstream of dangerous driving situations. Our work deals with observation and identification techniques to estimate the PTWV dynamic states and physical parameters. These latter are fundamental for risk quantification in ARAS design and to assess the safety of the PTWV, which are the main focus of our research work. The first part of the thesis concerns classical identification techniques to estimate physical parameters of PTWV. The second part deals with model-based observers implemented to estimate the dynamic states of the PTWV. We proposed an unknown input observer (UIO) for steering and road geometry estimation and an interconnected fuzzy observer (IFO) for both longitudinal and lateral dynamics. An alternative methods for identification algorithms are observer based identifier which provide both parameters identification and states estimation. Therefore, a Luenberger adaptive observer (LAO) to estimate lateral dynamic states and pneumatic stiffness as well as a delayed unknown inputs observer (DUIO) with an arbitrary relative degree, have been developed in this thesis. As matter of fact, all these techniques allow to estimate the vehicle dynamics while reducing the number of sensors and overcoming the problem of non-measurable states and parameters. These proposed methods require a simple combination of sensors and take into account realistic assumption like the longitudinal speed variation. Among others, this manuscript introduces a self calibration algorithm for Inertial Measurement Units (IMUs) alignment. Such a self-calibration method is used for telematic boxes (e-Boxes) installed on two-wheeled vehicles, whose IMUs’ axes are often result not to be aligned with the vehicle reference system. Finally, objective indicators are setting up to quantify riding risks. These functions were studied for ARAS purpose. To highlight the performance of these approaches, we have acquired data from high-fidelity motorcycle simulator and also with data from real motorcycles. To sum up, a comparison tables are drawn up for all the presented approaches. The results of both the numerical simulations and the performed experimentations seem to be quite promising
Prabhakar, Yadu. "Detection and counting of Powered Two Wheelers in traffic using a single-plane Laser Scanner." Phd thesis, INSA de Rouen, 2013. http://tel.archives-ouvertes.fr/tel-00973472.
Full textBlackman, Ross Alexander. "The increased popularity of mopeds and motor scooters : exploring usage patterns and safety outcomes." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/52685/1/Ross_Blackman_Thesis.pdf.
Full textAttal, Ferhat. "Classification de situations de conduite et détection des événements critiques d'un deux roues motorisé." Thesis, Paris Est, 2015. http://www.theses.fr/2015PEST1003/document.
Full textThis thesis aims to develop framework tools for analyzing and understanding the riding of Powered Two Wheelers (PTW). Experiments are conducted using instrumented PTW in real context including both normal (naturalistic) riding behaviors and critical riding behaviors (near fall and fall). The two objectives of this thesis are the riding patterns classification and critical riding events detection. In the first part of this thesis, a machine-learning framework is used for riding pattern recognition problem. Therefore, this problem is formulated as a classification task to identify the class of riding patterns. The approaches developed in this context have shown the interest to take into account the temporal aspect of the data in PTW riding. Moreover, we have shown the effectiveness of hidden Markov models for such problem. The second part of this thesis focuses on the development of the off-line detection and classification of critical riding events tools and the on-line fall detection. The problem of detection and classification of critical riding events has been performed towards two steps: (1) the segmentation step, where the multidimensional time of data were modeled and segmented by using a mixture model with quadratic logistic proportions; (2) the classification step, which consists in using a pattern recognition algorithm in order to assign each event by its extracted features to one of the three classes namely Fall, near Fall and Naturalistic riding. Regarding the fall detection problem, it is formulated as a sequential anomaly detection problem. The Multivariate CUmulative SUM (MCUSUM) control chart was applied on the data collected from sensors mounted on the motorcycle. The obtained results on a real database have shown the effectiveness of the proposed methodology for both riding pattern recognition and critical riding events detection problems
Rowden, Peter John. "Development and formative evaluation of a motorcycle rider training intervention to address risk taking." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/64240/1/Peter_Rowden_Thesis.pdf.
Full textGille, Laure-Anne. "Caractérisation physique et perceptive de différentes compositions de trafic routier urbain pour la détermination d'indicateurs de gêne en situation de mono-exposition et de multi-exposition." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSET005/document.
Full textRoad traffic noise, and in particular powered two-wheeler noise, constitute an important source of noise annoyance. In order to estimate the noise exposure in cities of more than 100 000 inhabitants, the European directive 2002/49/EC requires the elaboration of strategic noise maps, based on the Lden index. This index is also used in exposureresponse relationships, to predict the percentages of annoyed people, by road traffic noise for example. By coupling strategic noise maps and these exposure-response relationships, noise annoyance maps could be established. The relevance of this index to predict noise annoyance in cities is however often questioned, since many influential acoustical factors (e.g. spectral and temporal features) are not considered by this index. The aim of this thesis is to enhance the characterization of noise annoyance due to different compositions of urban road traffic including powered two-wheelers. To achieve this goal, experiments were carried out under controlled conditions. A first study concerned the influence of several acoustical features related to quiet periods and vehicle pass-by noises on the annoyance due to urban road traffic noise. This study demonstrated the influence of the presence of quiet periods and of the number of vehicles within the urban road traffic and to the absence of the influence of the order of the vehicle pass-by noises, the position and duration of quiet periods. These results were used to carry out the physical and perceptual characterization of different compositions of urban road traffic noise. Multilevel regression was used to calculate noise annoyance, by coupling combinations of indices relating to influential acoustical features and an individual factor: noise sensitivity. In cities, road traffic noise is often combined with other noises. In the framework of this thesis, noise exposure to road traffic noise combined with aircraft noise was studied. Therefore, the same work as the one performed for urban road traffic noise was carried out for aircraft noise, leading also to relevant combinations of noise indices. In order to characterize annoyances due to road traffic noise and to aircraft noise in a combined exposure situation, data from the previous experiments and from an experiment dealing with these combined noises were used through an appropriate multilevel regression, as done in literature. The regression allows annoyance models for each noise source to be proposed. Then, total annoyance due to combined noises was studied, in order to highlight the perceptual phenomena related to the combined exposure. Total noise annoyance models were proposed, using proposed annoyance model of each noise source. Finally, these single source annoyance models and total annoyance models were tested using data of a socio-acoustic survey. To do this, a methodology has been proposed to estimate the different indices involved in the annoyance models, from the Lden values obtained from the strategic noise maps and used to define the noise exposure of the respondents. This confrontation showed that the models proposed on the basis of experiments carried out under laboratory conditions and coupled with a methodology of estimation of the noise indices from Lden values, enabled a good prediction of in situ annoyance
Grassi, Alessandro. "Belted Safety Jacket: a new concept in motorcycle passive safety." Doctoral thesis, 2018. http://hdl.handle.net/2158/1128888.
Full textSAVINO, GIOVANNI. "Development of the Autonomous Braking for Powered Two Wheeler Application." Doctoral thesis, 2009. http://hdl.handle.net/2158/596158.
Full textBooks on the topic "…Powered Two Wheeler (PTW)"
Saunders, Roger. Age factors in powered two-wheeler vehicle road accidents. Poole: Dorset Institute, 1987.
Find full textMaggiore, Michele. Gravitational Waves. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198570899.001.0001.
Full textBook chapters on the topic "…Powered Two Wheeler (PTW)"
"Powered two-wheeler crash characteristics." In ITF Research Reports, 51–72. OECD, 2015. http://dx.doi.org/10.1787/9789282107942-4-en.
Full textChang, Fangrong, Helai Huang, and Md Mazharul Haque. "Powered Two- and Three-Wheeler Safety." In International Encyclopedia of Transportation, 443–50. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-08-102671-7.10156-3.
Full text"Powered two-wheeler fleet and usage." In ITF Research Reports, 27–50. OECD, 2015. http://dx.doi.org/10.1787/9789282107942-3-en.
Full text"Motorcyclists and Riders of Other Powered Two-Wheelers (PTWs)." In Traffic Safety and Human Behavior, 927–82. Emerald Publishing Limited, 2017. http://dx.doi.org/10.1108/978-1-78635-221-720162016.
Full text"Factors contributing to powered two-wheeler crashes and their severity." In ITF Research Reports, 73–91. OECD, 2015. http://dx.doi.org/10.1787/9789282107942-5-en.
Full text"Specific powered two-wheeler issues in low- and middle-income countries." In ITF Research Reports, 155–73. OECD, 2015. http://dx.doi.org/10.1787/9789282107942-10-en.
Full textConference papers on the topic "…Powered Two Wheeler (PTW)"
Sætren, Gunhild Birgitte, Jan Petter Wigum, and Petter Helmersen Bogfjellmo. "A qualitative study of the rider training system for younger riders in powered two-wheelers (PTW) class AM146 and A1, and its effect on risk." In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Singapore: Research Publishing Services, 2019. http://dx.doi.org/10.3850/978-981-11-2724-3_0141-cd.
Full textMoreno Giner, David, Alessandro Toso, Nicola Cofelice, and Jian Kang. "Motorcycle Dynamics in Virtual.Lab Motion." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29067.
Full textRAGNOLI, ANTONELLA, MARIA VITTORIA CORAZZA, PAOLA DI MASCIO, and ANTONIO MUSSO. "MAINTENANCE PRIORITY ASSOCIATED WITH POWERED TWO-WHEELER SAFETY." In URBAN TRANSPORT 2017. Southampton UK: WIT Press, 2017. http://dx.doi.org/10.2495/ut170391.
Full textKumar, Sachin, Bharti Sharma, and Marina I. Nezhurina. "Responsible Factors of Powered Two Wheeler Accidents: A Review." In 2018 International Conference on Research in Intelligent and Computing in Engineering (RICE). IEEE, 2018. http://dx.doi.org/10.1109/rice.2018.8509039.
Full textValtolina, Stefano, Sara Vanzi, Roberto Montanari, Luca Minin, and Stefano Marzani. "Design of Warning Delivery Strategies in Advanced Rider Assistance Systems." In ASME 2011 World Conference on Innovative Virtual Reality. ASMEDC, 2011. http://dx.doi.org/10.1115/winvr2011-5548.
Full textVincenzo, Manzoni,. "The Implementation of the Safespot Architecture on a Powered Two-Wheeler Vehicle." In Control in Transportation Systems, edited by Chassiakos, Anastasios, chair De Schutter, and Ioannou, Petros. Elsevier, 2009. http://dx.doi.org/10.3182/20090902-3-us-2007.00067.
Full textToman, Premysl, Josef Svoboda, and Jaroslav Pinkas. "Study of riding specifics of the electric and conventional powered two-wheeler users." In 2021 Smart City Symposium Prague (SCSP). IEEE, 2021. http://dx.doi.org/10.1109/scsp52043.2021.9447401.
Full textLich, Thomas, Girikumar Kumaresh, and Joerg Moennich. "Benefit Estimation of Anti-Lock Braking System for Powered Two Wheeler On Indian Highways." In Symposium on International Automotive Technology 2015. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2015. http://dx.doi.org/10.4271/2015-26-0167.
Full textChen, Jiguang, Miao Lin, and Liang Hou. "Accident Scenario Analysis of Passenger Car to Powered Two-Wheeler Accident Based on China In-Depth Accident Study." In Sixth International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482742.045.
Full textWigum, Jan Petter, Petter Helmersen Bogfjellmo, and Gunhild Brigitte Sætren. "Test-Oriented Rider Training and its Effect on Safety for Powered Two-Wheeler Classes in Norway – A Qualitative Study." In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Singapore: Research Publishing Services, 2020. http://dx.doi.org/10.3850/978-981-14-8593-0_3689-cd.
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