Academic literature on the topic 'International Traffic Safety Data and Analysis Group'
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Journal articles on the topic "International Traffic Safety Data and Analysis Group"
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Holló, Péter. "Biztonságiöv-viselési arányok Magyarországon és külföldön." Közlekedéstudományi Szemle 70, no. 6 (2020): 59–64. http://dx.doi.org/10.24228/ktsz.2020.6.5.
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Az egyik legfontosabb közlekedésbiztonsági teljesítménymutató a biztonságiöv-viselési arány. A hazai értékek alakulása és elemzése, más országokhoz történő viszonyítása fontos információkkal szolgál. Az írás a biztonságiöv-viselési arány hazai értékeinek alakulását elemzi más országokhoz képest. Erre az IRTAD (International Traffic Safety Data and Analysis Group), az OECD tagországok közúti forgalmi és baleseti adatbankja ad lehetőséget, ugyanis ez az útkategóriák szerint tartalmazza a személygépkocsik különböző ülésein megfigyelt biztonságiöv-viselési arányokat.
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Hima, Drita. "INFLUENCE OF ROAD NETWORK STRUCTURE AND MOBILITY FLOWS ON THE SCALE OF TRAFIC FATALITIES." Interdisciplinary Journal of Research and Development 6, no. 1 (March 20, 2019): 67. http://dx.doi.org/10.56345/ijrdv6n105.
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This paper is adapted from the literature (EWGT 2012 -Kazimierz Jamroz * - 15th meeting of the EURO Working Group on Transportation), according to the EU guidelines for getting "Best Practice" as a guide material to be used in the opening of the horizon in the Road Safety Study related to the description of the effect of selecting the "Road Network Structure", which should be the basis of "policy making" for defining the National Plan of Infrastructure Development of the Road Network of Albania, the change in "Mobility Flows" defined in the National Transport Plan, and the "Death at Traffic Accidents" (VAT) scale. The conclusions of this article are based on the study data of a number of countries around the world and therefore have a general value over which it has become possible to develop some non-linear factors analysis models that help identify these effects and make a decision Strategic Seas required for: Economic Development of the Country, Predicted Road Network Systems, Motorization Rate (1000 Population Vehicles), and Infrastructure Development . We have to bear in mind that the 2010 "White Paper" of the EU Commission for the EU Road Safety Objectives for 2020 as the main objective is foreseeing the halving of "Mortality in Traffic Accidents". The same objective has been set in the "National Road Safety Plan 2011-2020" for our country. Through this reference we do not want to show that we have done science, but we want to recommend a good scientific direction, demonstrated in an international forum, the 15th meeting of the EURO Working Group on Transportation, to be used as a good experience the studies of this field and our country.
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Ali, Nadir, Sadaf Sajid, Fatima Arshad, Usama Ahmad, and Humza Naveed. "Motorization Rate Resulting in a Road Traffic Accident an Epidemiological Audit of Injuries and Factors in the Medium-Scaled Cities of Punjab, Pakistan." Pakistan Journal of Medical and Health Sciences 16, no. 7 (July 30, 2022): 347–50. http://dx.doi.org/10.53350/pjmhs22167347.
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Background: Motor vehicles are increasing exponentially day by day all over the world with a global increasing prevalence of road traffic accidents. This situation of mass motorization has affected developing countries like Pakistan as well. Due to a lack of popper legislation and implementation of the law, the RTA situation is worse and requires proper research of epidemiological factors and medico-legal evaluation of injuries. Purpose: To see the pattern of RTA injuries and various epidemiological factors influencing them in the medium-scaled city like Sargodha, Gujranwala, Sialkot, and Gujarat Punjab, Pakistan. Study design: It is a retrospective study to evaluate and assess the pattern, severity, and epidemiological factors concerning RTA injuries and their medico-legal relationship during four years period from 2016 to 2019 in the medium-scaled cities of Punjab, Pakistan. Nearly 300 cases were selected to get information on predesigned Performa from Hospital records of DHQ Teaching Hospitals of Sargodha, Gujranwala, Sialkot, and Gujarat. Method and materials: After collecting data on designed Performa, the information was collected about epidemiological factors, type of injuries, the pattern of injury, outcome of injury, and medico-legal outcome for furthering justice. A descriptive statistical method was applied for the analysis and evaluation of collected data. Furthermore, standard deviation, F-statistics, and Chitest p-value were also applied to see the association of epidemiological factors with RTA injuries. Results: In a total of 300 cases of road traffic accidents, the average age was found 28.5years of age with gender male in most of the cases (86%). The 15-35 years age group was identified in more than 70 % of cases with the majority of accidents being motorcyclists with pillion riders and pedestrians. The majority of victims suffered RTA injuries while crossing the roads and constituted 30.66 % of all the cases followed by the victims passing by the side of roads with 24 %. The head and neck injuries were the most affected in most of these cases followed by extremities injuries. Conclusion: Motorcyclists with pillion riders were mostly involved in road traffic accidents. Males in the age group 20-30 years were the most affected victims being the socially active age group involved in motoring. The grievous and life-threatening injuries are increasing resulting in a very high rate of mortality and morbidity in society. The study suggests strict legislation and proper implementation of health and safety measures to avoid high RTA rates. Keywords: Motorization, RTA, automobile accidents, grievous injuries, health & safety measures.
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Shi, Zhenwei, Zhizhong Kang, Yi Lin, Yu Liu, and Wei Chen. "Automatic Recognition of Pole-Like Objects from Mobile Laser Scanning Point Clouds." Remote Sensing 10, no. 12 (November 27, 2018): 1891. http://dx.doi.org/10.3390/rs10121891.
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Mobile Laser Scanning (MLS) point cloud data contains rich three-dimensional (3D) information on road ancillary facilities such as street lamps, traffic signs and utility poles. Automatically recognizing such information from point cloud would provide benefits for road safety inspection, ancillary facilities management and so on, and can also provide basic information support for the construction of an information city. This paper presents a method for extracting and classifying pole-like objects (PLOs) from unstructured MLS point cloud data. Firstly, point cloud is preprocessed to remove outliers, downsample and filter ground points. Then, the PLOs are extracted from the point cloud by spatial independence analysis and cylindrical or linear feature detection. Finally, the PLOs are automatically classified by 3D shape matching. The method was tested based on two point clouds with different road environments. The completeness, correctness and overall accuracy were 92.7%, 97.4% and 92.3% respectively in Data I. For Data II, that provided by International Society for Photogrammetry and Remote Sensing Working Group (ISPRS WG) III/5 was also used to test the performance of the method, and the completeness, correctness and overall accuracy were 90.5%, 97.1% and 91.3%, respectively. Experimental results illustrate that the proposed method can effectively extract and classify PLOs accurately and effectively, which also shows great potential for further applications of MLS point cloud data.
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Gao, Chuang, Jiabin Yu, Xiaoguang Zhao, Haibao Wang, Zhiyong Liu, and Yaodong Gu. "The Effect of Built Environment on Older People Leisure-Time Walking and Physical Activity in Different Sex Groups in the City of Ningbo, China." Sustainability 14, no. 11 (May 27, 2022): 6562. http://dx.doi.org/10.3390/su14116562.
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The aim of this study was to examine the effect of built environment (BE) elements on older people’s (OP) leisure-time physical activity (LTPA) and leisure-time walking (LTW) level in the city of Ningbo. Older participants numbering 312 were randomly recruited using cross-sectional survey in 2019. International Physical Activity Questionnaire-short version (IPAQ-S) and Neighborhood Environment Walkability Scale—abbreviated (NEWS-A)—were used to gather LTPA data and the perceive scores of BE, respectively. Liner regression analysis was performed to investigate the association relationship between the perceived scores of BE and OP’s LTW and LTPA. The study’s results showed that, when not considering different sex groups, OP’s LTW was significantly related with the perceived scores of access to services (AE, p = 0.045), walking/cycling facilities (W/CF, p = 0.007), aesthetics, and land use mix diversity (LUMD, p = 0.04). OP’s LTPA was significantly related with AE (p = 0.04) and aesthetics (p < 0.001). The association relationships of BE with LTW and LTPA varied in different sex groups. Three elements (AE, W/CF, and LUMD) and one element (pedestrian/traffic safety and P/TS) of BE were found be related with older male and older female’s LTW, respectively. One element (aesthetics) and two elements (aesthetics, LUMD) of BE were found be related with older male and older female’s LTPA, respectively. The results indicated that the effects of BE on OP’s LTW and the effects of BE on OP’s LTPA were different. The effect also varied in different sex groups. More studies are needed to confirm the effect of BE on OP’s LTW and LTPA in different sex groups to globally enrich the scientific data base.
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Andrews, Peter JD, H. Louise Sinclair, Aryelly Rodríguez, Bridget Harris, Jonathan Rhodes, Hannah Watson, and Gordon Murray. "Therapeutic hypothermia to reduce intracranial pressure after traumatic brain injury: the Eurotherm3235 RCT." Health Technology Assessment 22, no. 45 (August 2018): 1–134. http://dx.doi.org/10.3310/hta22450.
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Background Traumatic brain injury (TBI) is a major cause of disability and death in young adults worldwide. It results in around 1 million hospital admissions annually in the European Union (EU), causes a majority of the 50,000 deaths from road traffic accidents and leaves a further ≈10,000 people severely disabled. Objective The Eurotherm3235 Trial was a pragmatic trial examining the effectiveness of hypothermia (32–35 °C) to reduce raised intracranial pressure (ICP) following severe TBI and reduce morbidity and mortality 6 months after TBI. Design An international, multicentre, randomised controlled trial. Setting Specialist neurological critical care units. Participants We included adult participants following TBI. Eligible patients had ICP monitoring in place with an ICP of > 20 mmHg despite first-line treatments. Participants were randomised to receive standard care with the addition of hypothermia (32–35 °C) or standard care alone. Online randomisation and the use of an electronic case report form (CRF) ensured concealment of random treatment allocation. It was not possible to blind local investigators to allocation as it was obvious which participants were receiving hypothermia. We collected information on how well the participant had recovered 6 months after injury. This information was provided either by the participant themself (if they were able) and/or a person close to them by completing the Glasgow Outcome Scale – Extended (GOSE) questionnaire. Telephone follow-up was carried out by a blinded independent clinician. Interventions The primary intervention to reduce ICP in the hypothermia group after randomisation was induction of hypothermia. Core temperature was initially reduced to 35 °C and decreased incrementally to a lower limit of 32 °C if necessary to maintain ICP at < 20 mmHg. Rewarming began after 48 hours if ICP remained controlled. Participants in the standard-care group received usual care at that centre, but without hypothermia. Main outcome measures The primary outcome measure was the GOSE [range 1 (dead) to 8 (upper good recovery)] at 6 months after the injury as assessed by an independent collaborator, blind to the intervention. A priori subgroup analysis tested the relationship between minimisation factors including being aged < 45 years, having a post-resuscitation Glasgow Coma Scale (GCS) motor score of < 2 on admission, having a time from injury of < 12 hours and patient outcome. Results We enrolled 387 patients from 47 centres in 18 countries. The trial was closed to recruitment following concerns raised by the Data and Safety Monitoring Committee in October 2014. On an intention-to-treat basis, 195 participants were randomised to hypothermia treatment and 192 to standard care. Regarding participant outcome, there was a higher mortality rate and poorer functional recovery at 6 months in the hypothermia group. The adjusted common odds ratio (OR) for the primary statistical analysis of the GOSE was 1.54 [95% confidence interval (CI) 1.03 to 2.31]; when the GOSE was dichotomised the OR was 1.74 (95% CI 1.09 to 2.77). Both results favoured standard care alone. In this pragmatic study, we did not collect data on adverse events. Data on serious adverse events (SAEs) were collected but were subject to reporting bias, with most SAEs being reported in the hypothermia group. Conclusions In participants following TBI and with an ICP of > 20 mmHg, titrated therapeutic hypothermia successfully reduced ICP but led to a higher mortality rate and worse functional outcome. Limitations Inability to blind treatment allocation as it was obvious which participants were randomised to the hypothermia group; there was biased recording of SAEs in the hypothermia group. We now believe that more adequately powered clinical trials of common therapies used to reduce ICP, such as hypertonic therapy, barbiturates and hyperventilation, are required to assess their potential benefits and risks to patients. Trial registration Current Controlled Trials ISRCTN34555414. Funding This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 22, No. 45. See the NIHR Journals Library website for further project information. The European Society of Intensive Care Medicine supported the pilot phase of this trial.
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Minenko, Evgen, Olexandr Pyna, Olga Belenchuk, and Tetyana Bondar. "ANALYSIS AND RESULTS OF MEASURES TO ENSURE ROAD SAFETY IN UKRAINE FOR THE PERIOD." Dorogi i mosti 2021, no. 24 (October 1, 2021): 134–48. http://dx.doi.org/10.36100/dorogimosti2021.24.134.
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Introduction. Undesirable consequences of fast increase of the vehicle fleet are an increase in the level of accident rate and the number of deaths and injuries in traffic accidents (hereinafter accidents). The positive experience of other countries shows that objectives indicators for reducing the number of traffic accident victims by implementing reasonable measures to eliminate the dominant causes of accidents is the most effective way to achieve the desired result in improving traffic safety. Problem statement. Considering the enormous economic lost caused by traffic accidents, improving of traffic safety has been a priority in the policies of many countries around the world in recent decades. In this regard, the international community pays considerable attention to the development of targeted programs and implementation of traffic safety measures directed at preventing the road traffic injuries. In particular, on March 2, 2010, the UN General Assembly adopted Resolution No. 64/255 «Improving Traffic Safety Worldwide», which proclaimed the 2011–2020 «Decade of Traffic Safety Actions» to reduce deaths from injuries sustained as a result of traffic accident — by 50%. Ukraine, through which seven international transport corridors run [1], did not stay away from solving the common problem and joined in 2011 to the UN initiative regarding reducing the death rate due to traffic accidents by at least 30 % [2]. For evaluation of the achieved result, it is important to analyze the accident statistics and determine whether the planned results were achieved through the implementation of planned measures to improve traffic safety. Purpose. The article considers the dynamics of accident rate and the number of traffic accidents victims in Ukraine for the period 2011–2020, as well as analyzes the main causes of traffic accidents on the public roads, including roads of state importance, to evaluate the outcome of the Decade of Traffic Safety Actions and providing the recommendations for further decreasing of mortality on domestic roads. Materials and methods. The study used the method of statistical processing of data on the number of accidents and their victims in Ukraine and the method of systematic analysis of risk factors that contributed to the accidents. Results. It is determined that the total number of fatalities in traffic accidents for the period 2011–2020 decreased in Ukraine by 27.8 %, and on the public roads — by 44.0 %. However, considering that since 2014 there are no data on traffic accidents in Autonomous Republic of Crimea and partly in Donetsk and Luhansk regions, the indicator of decreasing of deaths per 100 traffic accidents and the result shows more modest achievements: in Ukraine it was possible to reduce deaths by 100 traffic accidents per 100 14 %, and on the public roads — only 5.4 %. Conclusions. Accident rate analysis provides an information basis for understanding the scale of the problem of traffic injuries, evaluating the results of implemented measures to improve traffic safety, the dynamics of positive or negative developments, and allows to plan reasonably the measures to improve road conditions to reduce mortality on roads.
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Reyad, Passant, Tarek Sayed, Mohamed H. Zaki, and Shewkar E. Ibrahim. "School zone safety diagnosis using automated conflicts analysis technique." Canadian Journal of Civil Engineering 44, no. 10 (October 2017): 802–12. http://dx.doi.org/10.1139/cjce-2016-0586.
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School safety is a high priority for road safety agencies worldwide due to the growing concerns about student safety and emphasis on community livability. However, the lack of consistent data available at schools makes it challenging for engineers to understand the safety issues faced accurately. Traffic conflicts have been advocated in the literature as a surrogate safety measure due to the advantages it offers for road safety evaluations. This paper demonstrates the capability of automated traffic safety diagnosis at a school using computer vision techniques. The selected school is located in a residential area in the City of Edmonton, Alberta, and is on a main roadway in the neighbourhood. The age group of the school is from 5 to 16 years old (corresponding to Grade 1 to 9 respectively). Data are collected during the fall and winter terms. The severity and frequency of conflicts and traffic violations were analyzed to quantify the safety concerns. These concerns included driving violations, jaywalking violations as well as conflicts between pedestrians and vehicles as well as between vehicles and each other. Hourly and seasonal trends were observed and analyzed to assist in the selection of treatments and recommendations to improve the safety around schools. The results show that pedestrian safety has improved in winter due to lower vehicle speeds.
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Teng, Ying Xiang, Hu Gang Zhao, Jie Yang, and Jin Lu Sheng. "Water Traffic Safety Evaluation Based on the Grey Correlation Grade Analysis." Applied Mechanics and Materials 571-572 (June 2014): 295–98. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.295.
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Aiming at the deficiency of the water traffic safety evaluation method in our country, the water traffic safety evaluation model was established after full discussing, which is based on grey relational grade analysis. The water traffic safety status of shipping companies was evaluated through their correlation, which is on the basis of the Five index method, after the original data in a reasonable manner of dimensionless processing. Through a case of a shipping group, it is proved that the grey correlation greed analysis method can evaluate enterprise's security situation simply and effectively on the basis of original index of death toll, the number of accidents above General level, the number of ship destroyed and direct economic loss. Additionally, the evaluation is more objective and scientific.
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Macioszek, Elżbieta, and Damian Lach. "Analysis of exceedings the speed limit in Poland." WUT Journal of Transportation Engineering 120 (March 1, 2018): 253–64. http://dx.doi.org/10.5604/01.3001.0014.4778.
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Driving with excessive speed is considered as one of the main factors affecting traffic safety. This factor affects not only to the risk associated with the participation in a traffic accident, but also on the consequences of these accidents. The paper presents the analysis of the number of exceeding the speed limit in Poland. The analysis was based on data obtained from the Center of Automatic Supervision of Road Traffic. Of all Polish voivodships, the highest number of exceeding the speed limit was disclosed in the Mazowieckie and Śląskie Voivodships. Furthermore, in all voivodeships, the highest number of exceeding the speed limit was recorded in the range of 11-30 km/h. The smallest drivers group is exceeding the speed limit over 50 km/h. A positive phenomenon is the fact that as the speed increases, the number of vehicle drivers exceeding the speed limit is decreases. The presented data confirms that the basic tool used to improve road traffic safety is proper speed management and supervision.
Books on the topic "International Traffic Safety Data and Analysis Group"
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International Traffic Safety Data and Analysis Group. IRTAD annual report 2009. Place of publication not identified]: IRTAD, 2009.
Find full textBook chapters on the topic "International Traffic Safety Data and Analysis Group"
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Gan, Jiahua, Meng Zhang, and Yun Xiao. "Multidimensional Data Analysis Based on LOGIT Model." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 303–15. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_32.
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AbstractLogit Model is an important method for empirical analysis of multi-source data. In order to explore the traffic safety mechanism, The Paper taked traffic behavior data as an example, researched personal characteristics of truck drivers, Analyzed the influence of the driver’s personal traits on traffic violations. Based on the binary logistics regression model, the analysis model of traffic violations was established. The results show that personality, driver’s license level, daily driving time, transportation route, vehicle ownership, and occupational disease are important factors that affect drivers’ violations. Further data analysis shows that truck drivers with bile personalities, driving for more than 12 h per day, no fixed transportation routes, and vehicles with loans have the highest probability of violations. The data analysis conclusion provides data basis for truck driver management and improving truck traffic safety.
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Bidkar, Omkar, Shriniwas Arkatkar, and Gaurang Joshi. "Investigating Surrogate Safety Measures Under Varying Roadway and Traffic Conditions Using Vehicular Trajectory Data." In Proceedings of the Sixth International Conference of Transportation Research Group of India, 285–99. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4204-4_17.
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Tang, Lili. "Design of Portable Intelligent Traffic Light Alarm System for the Blind." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 241–49. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_26.
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AbstractThe system is composed of STC single chip microcomputer, color signal recognizer and sensor control module, wireless communication control module, voice and video synthesizer and broadcast control module. STC MCU adopts STC89C52; color recognition sensor module uses gy-33 color recognition sensor, which can identify the current traffic light conditions; wireless communication module uses nRF24L01 made by Nordic company, which needs to be installed at the sending end and the receiving end to send the current traffic light information; the speech synthesis broadcasting module uses the TTS speech synthesis broadcasting module xfs5152ce of iFLYTEK, after data recognition and analysis, it finally sends voice alarm about traffic lights to the blind, so as to effectively guide the blind whether it can pass through, so as to ensure the safety of the blind. This design combines artificial intelligence with daily life, which not only meets the development trend of the information age, but also meets the needs of the current society. It has a broad market prospect in the application of intelligent travel.
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Winkle, Thomas. "Introduction." In Product Development within Artificial Intelligence, Ethics and Legal Risk, 1–6. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-34293-7_1.
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AbstractWith regard to safe product development in the dilemma between Artificial Intelligence, ethics and legal risk, Prof. Dr.-Ing. MBA Thomas Winkle first provides a meta-analysis on safety assessment based on accident data examples to show possible definitions of safety benefits and risk. With more than 20 years of research and consulting at three automobile manufacturers, Thomas Winkle also points to disasters from nuclear power plant accidents at Chernobyl and Fukushima. Further comparisons between global mortality rates of women and men to life expectancy of different countries of the world compared to the traffic mortality sensitize for ethical relevance and accepted risk today.As the first of its kind, the scientific analysis in this book uses one example to analyze all police-reported traffic accidents nationwide in Saxony (1.28 million) over a 10-year period. Relevant examples highlight technical, ethical, and legal requirements for the development and production of automated vehicles with image recognition and Artificial Intelligence. The inclusion of highly sensitive international court rulings and growing consumer expectations make the book a helpful guide for product development from the initial idea to market launch. Qualitative interviews within the development departments of automobile manufacturers show how a structured guideline-based process with expert feedback loops increases product quality in terms of safety in use and functional safety. Finally, there follows a development guide with a checklist of 101 questions on the requirements that contribute to the duty of care in the development of automated vehicles and fulfill the highest court rulings on product liability.
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"Spatial and Temporal Distribution of Pedestrian Crashes." In Big Data Analytics in Traffic and Transportation Engineering, 122–51. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7943-4.ch006.
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In order to develop effective and targeted safety programs, the location and time-specific influences on vehicle-pedestrian crashes must be assessed. Therefore, spatial autocorrelation was applied to the examination of vehicle-pedestrian crashes in geographic information systems (GISs) to identify any dependency between time and location of these crashes. Spider plotting and kernel density estimation (KDE) were then used to determine the temporal and spatial patterns of vehicle-pedestrian crashes for different age groups and gender types. Temporal analysis shows that pedestrian age has a significant influence on the temporal distribution of vehicle-pedestrian crashes. Furthermore, men and women have different crash patterns. In addition, the results of the spatial analysis show that areas with high risk of vehicle-pedestrian crashes can vary during different times of the day for different age groups and gender types. For example, for the age group between 18 and 65, most vehicle-pedestrian crashes occur in the central business district (CBD) during the day, but between 7:00 pm and 6:00 am, crashes for this age group occur mostly around hotels, clubs, and bars. Therefore, specific safety measures should be implemented during times of high crash risk at different locations for different age groups and gender types, in order to increase the effectiveness of the countermeasures in preventing and reducing the vehicle-pedestrian crashes.
Conference papers on the topic "International Traffic Safety Data and Analysis Group"
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Srinivasan Rammanoharan, Sneha, Jose Alguindigue, Apurva Narayan, and Siby Samuel. "SHRP2 Naturalistic Data Analysis of Older Drivers’ Gap-Acceptance Behaviour." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002478.
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Drivers aged 65 and older are very prone to motor vehicle crashes. Intersections appear to be hazardous for drivers of this age group due to the driver’s cognitive, perceptual, and psychomotor challenges. Literature notes that older drivers find it incredibly challenging to safely navigate left turns at signalized intersections. Studies have identified the driver’s physical health, vision, and cognition as factors that impact the ability of older drivers to sufficiently monitor the gaps in oncoming traffic to make a left turn safely. The current paper aims to address the gap in the literature by explicitly examining older drivers’ gap acceptance behaviors during left turns at protected intersections. We utilize the Naturalistic Driving Study Data collected via the Strategic Highway Research Plan (SHRP2) to understand older driver behavior better. SHRP2 makes available a geo-spatially linked, comprehensive database over a multi-year period from over 3400 participants across six sites. SHRP2 databases contain a relatively more significant proportion of younger and older drivers than the national driver population databases. This dataset includes a trip summary, vehicle data, driver questionnaire, and test battery data specifying driving history, physical and psychological conditions, demographics and exit interview data, time-series data of the drivers approaching the intersections or just after the intersections, and forward video data of the drivers approaching the intersections or just after the intersections. Data is analyzed for participants over the age of 65 and participants between the ages of 30-50. Several hundred baseline, near-crash, and crash events are obtained for comparison. The video data is annotated using the DREAM methodology. The Roadway Information Database (RID) also considers additional variables such as crash histories and traffic and weather conditions. The samples of the forward video data provide the start time and end time of each gap accepted or rejected by the turning driver, especially when turning left, during unprotected phases, and help understand the participant’s interactions with other vehicles just before and after the intersections. As the data has been collected over multiple years across multiple sites, the dataset is considered a multivariate time series model. As there is more than a one-time dependent variable, the data was analyzed using Extreme Gradient Boost (XGBoost), Long-Short Term Memory (LSTM), and Seasonal Auto-Regressive Integrated Moving Average with eXogenous factors (SARIMAX) models. These models are expected to achieve an accuracy of around 80 percent at four-way intersections and approximately 60 percent in T-intersections. We anticipate that the older drivers will exhibit longer gap acceptance times and a greater frequency of gap rejections than their younger counterparts while turning left across traffic at signalized intersections. The findings of the current study will have implications for older driver safety. Researchers may use the findings to understand gap acceptance behaviors further, while policymakers may utilize the results to design mobility guidelines.
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Looten, Kylian, Camille Gillet, and Samuel Aupetit. "Experimentation of an innovative device for pedestrian safety: an eye tracking study in real traffic conditions." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005426.
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In a context where the number of cars is constantly increasing, pedestrian safety appears more necessary than ever. In certain high-risk urban areas, pedestrian safety depends on the driver's ability to see the pedestrian and the crosswalk (Lantieri, 2021). To improve pedestrian detection by the driver, Colas (a French civil engineering company) has developed an innovative technology for crosswalks. This solution is called Flowell and consists of colored light strips on the ground, which indicate when the pedestrian should cross. The objective of this study is to test if the Flowell technology improves driver’s visual strategies in crosswalk areas. In order to study these visual strategies in conditions as close as possible to those encountered by drivers, a natural study in real traffic conditions was chosen. Twenty-eight participants were recruited and were asked to drive for 30 minutes in urban areas close to Paris in a crosswalk area where the Flowell technology was installed. Participants were divided in two groups: 1) day driving and 2) night driving. Each group did a driving session before (T0) and after (T1) the installation of the Flowell system. Objective and subjective data were collected in order to assess drivers’ perception, understanding and usefulness of the Flowell system. Perception was measured in terms of the time taken to detect the crosswalk (seconds), the number of fixations in the various zones and the duration of fixations for each crossing (seconds) using Tobii's eye-tracker : glasses pro 3. Visibility and glare levels were also collected via interviews at the end of the survey. The level of understanding of the device was collected from participants' interviews and completed by eye tracking data such as eye path and patterns. Finally levels of usefulness and perceived effectiveness were documented by verbal data.The results showed that there is a main effect of day/night driving on the overall number of fixations (F(1,12) = 12.8, p=0.004, n²=0.308). It was higher during the day at T0 (M = 2.17, SD = 0,37) than at night (M = 1.21, SD = 0,25). The duration of fixation on the zones of interest is greater at T1 (48%) than at T0 (22%). In other words, night-time drivers spend more time looking at crosswalk zones when the device is switched on. Analysis of the participants' verbal data showed that 60% understood how the system worked at night, compared with only 30% during the day. On average, the level of system efficiency was 4.60 (SD = 0.55) for night-time participants, compared with 3.47 (SD = 1.46) for daytime participants.To conclude, at night, the Flowell device is really well perceived and understood. Its perceived usefulness is therefore high, and it is relevant to pedestrian safety on this site. During the day, however, a lower level of perception and understanding leads to a reduction in its usefulness.
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Al Wahaybi, Maryam Humaid, Roeland van Gilst, Fathiya Hilal Salmi, Taimur Al Wadhahi, Saif Azri, Abir Mahruqi, Qais Ali Siyabi, Sandeep Mahajan, Khalid Abdullah Mahrouqi, and Nabil Salim AL Siyabi. "Utilizing Lean & Machine Learning to Monitor and Managing Production Induced Subsidence in a Mature Oil and Gas Field and to Ensure Safety of 200+ Field Staff and Safeguard More Than 200 Mln BOE Natih & Shuaiba." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/208147-ms.
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Abstract The MicroSeismic (MS) events, also referred to as tremors or induced seismicity, can be triggered by reservoir depletion and compaction as a result of hydrocarbon production with time. In order to measure and locate the MS events in the Field A; Petroleum Development of Oman (PDO) installed many downhole geophones and accelerometers across the field since 2011. The monitoring network allows subsurface teams to understand magnitude, location and depth of the events. Till the end of 2019 a total of 5,597 MS events were recorded and analysed. In 2020 a new Standard Operating Procedure (SOP) was established moving away from a partly manual data information system to an automated real-time data system named PetroAlert (this is ESG invention). The SOP also defines a clear step-by-step action plan and line-of-sight using a color code system (Traffic Light System). The key challenges that needed to be overcome were: 1) problem breakdown, goals and root causes and 2) data integration and IT infrastructure. The first challenge was overcome by utilizing Lean and organizing a KAIZEN event to ensure objectives were clear to all involved team members. The second challenge was solved in consultation with our external event processing contractor the Engineering Seismology Group (ESG) and the PDO geophysics teams (Exploration Directorate). PDO behaviors: –Speed: the new automated alert system is much Leaner and efficient compared to the previous manual system saving 100s of man hours per year. The line-of-sight captured in the SOP makes it clear for the team how to respond and who to inform in case of significant MicroSeismic events.–Leadership: the Gas Team has lead the change with other compaction team members. In principle all information was available but needed to be combined into a simple alert system with appropriate data filtering.–Team work: without teamwork inside PDO with the Lean team, the specialist geophysicist and our external contractor ESG we would not have succeeded. Several Lean sessions (KAIZEN, Gemba, and huddles) were organised to ensure all team members were well informed on the progress and deadlines for the project. The digital transformation in MicroSeismic monitoring in Field A protects 200+ staff in the field and multiple hundreds BOE production in both Natih and Shuaiba Reservoirs. This work can be replicated for other fields in PDO impacted by compaction (Field B and Field C) to increase the success even further. Also it can be replicated worldwide.
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Chen, Lihui, and Pin Wang. "Risk factor analysis of traffic accident for different age group based on adaptive boosting." In 2017 4th International Conference on Transportation Information and Safety (ICTIS). IEEE, 2017. http://dx.doi.org/10.1109/ictis.2017.8047861.
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Erts, Kaspars, and Santa Bormane. "Social marketing: promoting a change in public behaviour. A case study of company "Rigas Mezi"." In 24th International Scientific Conference. “Economic Science for Rural Development 2023”. Latvia University of Life Sciences and Technologies. Faculty of Economics and Social Development, 2023. http://dx.doi.org/10.22616/esrd.2023.57.037.
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Social marketing is often used in public administration and in the activities of NGOs, for example in health care, traffic safety, anti-corruption etc, but there is a lack of case studies on the design of these campaigns, the methods used, as well as the results achieved. However, public administration and NGOs are not the only ones that can use social marketing to change the social order, since in business too, public opinion and action often affect and influence companies in various sectors that work in the public interest or manage state and municipal property. The aim of the study is to develop a concept for the implementation of social marketing campaigns, based on theoretical knowledge about social marketing and empirical data analysis. In order to achieve the objective of the study, the monographic method, the document analysis, the secondary data analysis, the contextual analysis and the quantitative data analysis to find out consumers' views on social marketing and what tools would encourage behaviour change. Based on the findings of the study, a concept was developed for the future implementation of social marketing campaigns. Findings. It was concluded that educational/informative materials, real experience stories, statistics and facts, increasing penalties and legal liability, as well as the introduction of new solutions, such as the deposit system for new groups of consumer goods, contribute to a change in social behavior. Company "Rigas mezi" needs to focus on reducing pollution, preserving and enhancing natural values and reducing forest fires. Based on the theoretical and practical research, the authors developed a social marketing impact process, which is presented as a theoretical social marketing impact scheme.
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Yuan, Quan, Xinze Li, Cai Wang, Yibing Li, and Yan Gao. "Cluster and factor analysis on data of fatal traffic crashes in China." In 2017 4th International Conference on Transportation Information and Safety (ICTIS). IEEE, 2017. http://dx.doi.org/10.1109/ictis.2017.8047768.
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Wang, Bowen, Jingsheng Wang, Tianyu Xia, and Dandan Ding. "Research on Risk Assessment and Intervention Methods of Freight Vehicle Traffic Safety via Data Analysis." In International Conference on Public Management and Big Data Analysis. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0011345700003437.
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Yang, Hung-Cheng, Mu-Chuan Chen, and I.-Long Lin. "Discussion on Application of Big Data Analysis in Improving Traffic Safety: Database of Traffic Accidents and Violation Reports." In 2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB). IEEE, 2023. http://dx.doi.org/10.1109/iceib57887.2023.10170714.
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Ngamdung, Tashi, and Marco daSilva. "Driver Behavior Analysis Using Vehicle Safety Systems’ Field Operational Test Data." In 2012 Joint Rail Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/jrc2012-74088.
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The United States Department of Transportation’s (US DOT) Research and Innovative Technology Administration’s John A. Volpe National Transportation Systems Center (Volpe Center), under the direction of the US DOT Federal Railroad Administration (FRA) Office of Research and Development (R&D), is leveraging the National Highway Traffic Safety Administration (NHTSA) sponsored Integrated Vehicle Based Safety System (IVBSS) Light Vehicle (LV) Field Operational Test (FOT) to collect and analyze drivers’ activities at or on approach to highway-rail grade crossings. Grade crossings in Michigan, Indiana, and Ohio were cross-referenced with IVBSS LV FOT research vehicle location to identify the time research vehicles were present at a crossing. The IVBSS LV FOT included 108 participants that took a total of 22,656 trips. Of the 22,656 total trips, 3,137 trips included a total of 4,215 grade crossing events. The analysis was based of drivers’ activities at the 4,215 grade crossing events. Both looking behavior and distractions did not significantly differ based on gender. However when analyzed per age-group, younger drivers (between 20 to 30 years old) were significantly more likely to be distracted than middle-aged drivers (between 40 to 50 years old) or older drivers (between 60 to 70 years old). For looking behavior, the data revealed that older drivers are more likely to look at least one way at or on approach to highway-rail crossing (43.8 percent exhibited this behavior) than either middle-aged drivers (35.0 percent exhibited this behavior) or younger drivers (25.3 percent exhibited this behavior).
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Abken, Amin, Seng W. Loke, and Arkady Zaslavsky. "Towards Group Activity Recognition and Analysis for Improving the Safety of Automated Vehicles." In 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). IEEE, 2021. http://dx.doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics53846.2021.00026.
Full textReports on the topic "International Traffic Safety Data and Analysis Group"
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Arhin, Stephen, Babin Manandhar, and Adam Gatiba. Influence of Pavement Conditions on Commercial Motor Vehicle Crashes. Mineta Transportation Institute, December 2023. http://dx.doi.org/10.31979/mti.2023.2343.
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Commercial motor vehicle (CMV) safety is a major concern in the United States, including the District of Columbia (DC), where CMVs make up 15% of traffic. This research uses a comprehensive approach, combining statistical analysis and machine learning techniques, to investigate the impact of road pavement conditions on CMV accidents. The study integrates traffic crash data from the Traffic Accident Reporting and Analysis Systems Version 2.0 (TARAS2) database with pavement condition data provided by the District Department of Transportation (DDOT). Data spanning from 2016 to 2020 was collected and analyzed, focusing on CMV routes in DC. The analysis employs binary logistic regression to explore relationships between injury occurrence after a CMV crash and multiple independent variables. Additionally, Artificial Neural Network (ANN) models were developed to classify CMV crash injury severity. Importantly, the inclusion of pavement condition variables (International Roughness Index and Pavement Condition Index) substantially enhanced the accuracy of the logistic regression model, increasing predictability from 0.8% to 41%. The study also demonstrates the potential of Artificial Neural Network models in predicting CMV crash injury severity, achieving an accuracy of 60% and an F-measure of 0.52. These results highlight the importance of considering road pavement conditions in road safety policies and interventions. The study provides valuable insights for policymakers and stakeholders aiming to enhance road safety for CMVs in the District of Columbia and showcases the potential of machine learning techniques in understanding the complex interplay between road conditions and CMV crash occurrences.
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Motamed, Ramin, David McCallen, and Swasti Saxena. An International Workshop on Large-Scale Shake Table Testing for the Assessment of Soil-Foundation-Structure System Response for Seismic Safety of DOE Nuclear Facilities, A Virtual Workshop – 17-18 May 2021. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, February 2024. http://dx.doi.org/10.55461/jjvo9762.
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Aging infrastructure within the US Department of Energy (DOE) and the National Nuclear Security Administration (NNSA) nuclear facilities poses a major challenge to their resiliency against natural phenomenon hazards. Examples of mission-critical facilities located in regions of high seismicity can be found at a number of NNSA sites including Lawrence Livermore National Laboratory, Los Alamos National Laboratory, and the Nevada National Security Site. Most of the nation’s currently operating nuclear facilities have already reached their operating lifetime, and most currently operating nuclear power plants (NPPs) have already reached the extent of their operating license period. While the domestic demand for electrical energy is expected to grow, if currently operating NPPs do not extend their operations and additional plants are not built quickly enough to replace them, the total fraction of electrical energy generated from carbon-free nuclear power will rapidly decline. The decision to extend operation is ultimately an economic one; however, economics can often be improved through technical advancements (McCarthy et al. 2015) and research and development (R&D) activities. Similarly, the operating lifetime of the current DOE- and NNSA-owned critical infrastructure can be extended using the Probabilistic Risk Assessment (PRA) framework to systematically identify the risk associated with designing and operating existing facilities and building new ones. Using this framework consists of several steps, including (1) system analysis considering the interaction between components, such as evaluating the soil-foundation-structure system response; and (2) assessment of areas of uncertainty. Both of these steps are essential to assessing and reducing risks to the DOE and NNSA nuclear facilities. While the risks to the DOE’s facilities are primarily due to natural hazard phenomena, data from large-scale tests of the soil-foundation-structural system response to seismic shaking is currently lacking. This workshop aimed to address these key areas by organizing an international workshop focused on advancing the seismic safety of nuclear facilities using large-scale shake table testing. As a result, this workshop, which was held virtually, brought together a select group of international experts in large-scale shake table testing from the U.S., Japan, and Europe to discuss state-of-the-art experimental techniques and emerging instrumentation technologies that can produce unique experimental data to advance knowledge in natural hazards that impact the safety of the DOE’s nuclear facilities. The generated experimental data followed by research and development activities will ultimately result in updates to ASCE 4-16, one of the primary design guides for DOE nuclear facilities per DOE-STD-1020-2016. The ultimate objective of the workshop was to develop a “road map” for the future experimental campaign and innovative instrumentations using the newly constructed DOE-funded large-scale shake table facility at the University of Nevada, Reno (UNR) as well as other large-scale shake table testing facilities. This new facility resulted from a collaborative project engagement between UNR and Lawrence Berkeley National Laboratory. (LBNL). This report summarizes the proceedings of the workshop and highlights the key outcomes from presentations and discussions.
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Introduction to MedDRA Labeling Grouping (MLG): a standardized approach to grouping adverse reactions in product safety labels. Council for International Organizations of Medical Sciences (CIOMS), March 2024. http://dx.doi.org/10.56759/hmku5307.
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The Medical Dictionary for Regulatory Activities (MedDRA) is a terminology developed by the International Council for Harmonisation (ICH). While it is useful for precise coding of adverse events of medicines for data analysis, its high granularity can obscure the communication of adverse reactions in product labeling for healthcare practitioners. Many sponsors and regulators have therefore begun to develop their own approaches to clustering similar adverse reaction terms in medical product prescribing information on a product-by-product basis. However, there are no agreed-upon conventions that describe which adverse reaction terms may be appropriate to group together. To improve safety communication to patients and healthcare providers, there is an urgent need for a harmonized international approach to the creation and use of groups of MedDRA terms, or “MedDRA Labeling Groupings (MLGs)”, in medical product prescribing information. The use of the consensus recommendations proposed in this report would be voluntary and applied to product labels in a manner that is consistent with existing regulatory frameworks.