Relevant bibliographies by topics / Bus drivers – Behavior – Evaluation

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Academic literature on the topic 'Bus drivers – Behavior – Evaluation'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Bus drivers – Behavior – Evaluation"

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Guéguen, Nicolas, and Jacques Fischer-Lokou. "Another Evaluation of Touch and Helping Behavior." Psychological Reports 92, no. 1 (February 2003): 62–64. http://dx.doi.org/10.2466/pr0.2003.92.1.62.

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Although positive effect of touch on compliance has been widely reported, new evaluation was made with an unusual request. 80 male bus drivers were solicited by a male or a female confederate to take the bus despite having too little money for the fare. Bus drivers were briefly touched by the confederate during solicitation. Analysis showed that bus drivers who were touched accepted the request more favorably bur only when made by a female.
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Yao, Ying, Xiaohua Zhao, Jianming Ma, Chang Liu, and Jian Rong. "Driving Simulator Study: Eco-Driving Training System Based on Individual Characteristics." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 8 (April 26, 2019): 463–76. http://dx.doi.org/10.1177/0361198119843260.

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This research sought to establish an eco-driving training system based on a driving simulator. The eco-driving training system contained five modules: human machine interface, data management, scene management, mode management, and evaluation algorithm management. It was proposed to base the new eco-driving training system on drivers’ individual characteristics. This system first asked drivers to conduct a diagnostic drive on a stretch of roadway in a driving simulator. The data on each driver’s non-ecological driving behaviors under different events were collected. Then each driver was given a customized training course based on an evaluation of his/her driving behaviors during the diagnostic drive. This training process is called eco-driving training based on individual characteristics (EDTIC). Eighty taxi drivers were recruited and divided into two groups for eco-driving training. One group was trained by watching videos, and the other was trained by the EDTIC training. An analysis of results shows that the EDTIC training was significantly more effective than traditional video training. Under the EDTIC training, all driving behaviors improved and emissions and fuel consumption were greatly reduced; the reduction was as great as 8.3–8.4%. The EDTIC training was proven effective at improving the eco-driving behavior of taxi drivers (i.e., professional drivers), and it could also be employed to train other professional drivers (bus and truck drivers) and non-professional drivers.
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Bhaskar Agrawal, Bhuwan, S. Travis Waller, and Athanasios Ziliaskopoulos. "Modeling Approach for Transit Signal Preemption." Transportation Research Record: Journal of the Transportation Research Board 1791, no. 1 (January 2002): 13–20. http://dx.doi.org/10.3141/1791-03.

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A simulation/assignment-based approach is introduced for evaluating the regionwide effect of signal preemption strategies for bus transit operations. The model addresses both the propagation and interaction of traffic with the bus operations as well as the routing behavior of drivers in response to the introduced preemption control. Furthermore, the need and feasibility of conducting this evaluation at the systemwide level is discussed and demonstrated. An example traffic network that includes Cermak Road in Chicago, Illinois, is used to demonstrate the applicability of the modeling approach.
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Vangi, D., and A. Virga. "Evaluation of energy-saving driving styles for bus drivers." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 217, no. 4 (April 1, 2003): 299–305. http://dx.doi.org/10.1243/09544070360613255.

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A procedure is presented for evaluating the performance in terms of driving style of public transport bus drivers, within the context of a programme for energy savings in urban public transportation. The purpose of this evaluation is that of providing suitable tools for training of personnel with the objective of attaining more energy-efficient driving styles and improving driving quality. Quality can be defined as the combination of an energy saving driving style with a behaviour that is respectful of the environment (noise, pollution and safety) and of the vehicle and is comfortable for the passengers as well. Economical driving provides direct savings in fuel of up to 25 per cent as well as indirect savings deriving from general improvements in quality; a more controlled driving style can also be accompanied by reductions in air pollution and noise emission. The procedure utilizes a fuzzy logic approach and can be implemented aboard vehicles in an automatic monitoring system, the sole requirement being that of measuring the instantaneous road speed of the vehicle and its current load. The procedure has been developed and validated on the basis of data coming from a test campaign carried out on vehicles equipped with automatic and manual transmission, operating over both urban and intercity itineraries in three different cities, and adopting different driving styles with different drivers. By analysing the results, in relation to the itinerary and conditions of traffic, stops, load, etc., it can be determined which conditions, for each driver, lead to either good or poor performance. Such specific information, together with assessment of the overall driving style, provides useful indications for training drivers, both through training programmes with specific itineraries and trials, and through self-learning processes with the procedure implemented using an on-board monitoring system.
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Sappl, Hannes, and Tibor Kubjatko. "Evaluation of the Hazard Perception Skills of Young Drivers." LOGI – Scientific Journal on Transport and Logistics 12, no. 1 (May 1, 2021): 78–89. http://dx.doi.org/10.2478/logi-2021-0008.

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Abstract The aim of this study is to collate valuable information about the hazard perception process of (young) drivers and to evaluate their hazard perception skills. For this, an eye-tracking system was used to record the visual behaviour of drivers. In addition, a system based on a data logger and sensors was developed to capture and log the relevant data from the vehicle. By tapping into the vehiclés CAN bus (Controller Area Network), the needed parameters (e.g. position of accelerator, brake, and clutch pedal, as well as the steering wheel angle) were acquired through the reverse engineering of the vehicle′s CAN stream. All the captured data was subsequently synchronized and overlaid in the eye-tracking video. The complete system, i.e. data-logger and sensors, was consistently integrated into a driving school car. Due to the fact that all the data was captured in real-time whilst driving in traffic, every analysed situation can be considered unique and therefore cannot be compared to other situations. The results of the study revealed that only in 18% of the analysed situations, the hazard-perception skills were adequate or the same as they were taught at the driving school just a few months previous. Confronted by the videos of their lessons, the participating drivers adjusted their self-assessment scores for their driving skills downwards by around 25% on average.
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He, Yi, and Duan Feng Chu. "Evaluation and Modeling of Passenger Vehicle Celeration Performance Based on Artificial Neural Networks." Applied Mechanics and Materials 744-746 (March 2015): 1938–42. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.1938.

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As the siginificant factors influence passengers comfort, the vehicle celebration performance may easy to cause accidents, such as hard acceleration and deceleration performance. In order to find the relationship between passengers comfort and celebration performance, 35 passengers and three professional drivers were recruited in the field experiment. The passengers’ comfort feelings were analysed by subject questionnaires, the acceleration and deceleration data were received by CAN bus.The Artificial Neural Networks (ANNs) model was elaborated to estimate and predict the passengers comfort level of driver unsafe acceleration behavior situations. Therefore, the subject views of the passengers could be compared to object acceleration data. An ANN is applied to interconnect output data (subjective rating) with input data (objective parameters). Finally, it is found the investigatioin have demonstrated that the objective values are efficiently correlated with the subjective sensation. Thus, the presented approach can be effectively applied to support the drive train development of bus.
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Luo, Shengda, Alex Po Leung, Xingzhao Qiu, Jan Y. K. Chan, and Haozhi Huang. "Complementary Deep and Shallow Learning with Boosting for Public Transportation Safety." Sensors 20, no. 17 (August 19, 2020): 4671. http://dx.doi.org/10.3390/s20174671.

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To monitor road safety, billions of records can be generated by Controller Area Network bus each day on public transportation. Automation to determine whether certain driving behaviour of drivers on public transportation can be considered safe on the road using artificial intelligence or machine learning techniques for big data analytics has become a possibility recently. Due to the high false classification rates of the current methods, our goal is to build a practical and accurate method for road safety predictions that automatically determine if the driving behaviour is safe on public transportation. In this paper, our main contributions include (1) a novel feature extraction method because of the lack of informative features in raw CAN bus data, (2) a novel boosting method for driving behaviour classification (safe or unsafe) to combine advantages of deep learning and shallow learning methods with much improved performance, and (3) an evaluation of our method using a real-world data to provide accurate labels from domain experts in the public transportation industry for the first time. The experiments show that the proposed boosting method with our proposed features outperforms seven other popular methods on the real-world dataset by 5.9% and 5.5%.
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Gittens, Antonio, and Amer Shalaby. "Evaluation of Bus Reliability Measures and Development of a New Composite Indicator." Transportation Research Record: Journal of the Transportation Research Board 2533, no. 1 (January 2015): 91–99. http://dx.doi.org/10.3141/2533-10.

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Reliability is cited as a key aspect of service quality, but many of the indicators in use today do not measure reliability from the user's perspective. A review of earlier work on transit user behavior concluded that the traveler's perspective of reliability was driven by punctuality in arriving at the destination, short waiting times at the origin stop, and consistent wait and travel times. Twenty indicators were assessed, but none were well suited to capturing all of these elements of reliability. A new measure, journey time buffer index (JTBI), was therefore proposed; the index used estimates of wait times at bus stops while capturing variability in wait and travel times that tended to increase the disutility of transit travel. Alternative formulations were developed for short and long headway service, and the new indicator was applied to the London Transit Commission's bus network in London, Ontario, Canada. This procedure demonstrated that the JTBI was better suited to identifying the factors contributing to unreliable service than metrics that focused on a single component of reliability. A linear regression analysis also highlighted that route length, stop spacing, time of day, route orientation relative to the city center, and passenger load all influenced reliability although the low adjusted R2 value of .298 showed that some major causes of reliability were not captured by the model.
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Weinzimmer, David, Rebecca L. Sanders, Heidi Dittrich, and Jill F. Cooper. "Evaluation of the Safe Routes to Transit Program in California." Transportation Research Record: Journal of the Transportation Research Board 2534, no. 1 (January 2015): 92–100. http://dx.doi.org/10.3141/2534-12.

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This paper elaborates on findings from an evaluation of the San Francisco Bay Area's Safe Routes to Transit (SR2T) program in California. This program funded enhancements to increase walking and cycling to regional transit stations. To understand how the program influenced travel choices, behavior, and perceptions of safety and local air quality, the study surveyed transit users and observed driver, pedestrian, and bicyclist behavior in the periods before and after the enhancements were made at multiple transit stations. Data from the treatment and control stations suggested that the streetscape and roadway improvements made through the SR2T program positively influenced the propensity to walk, bicycle, and take the bus to transit stations, as reported through surveys. In particular, the results showed that walking and bicycling increased by 3% at treatment sites compared with control sites. Bicycling also increased at control sites; this factor indicated a general societal shift. Furthermore, driving decreased 2.5% at treatment sites. Perceived air quality, in general, improved in the posttime period. When asked about perceived traffic risk, bicyclists more than pedestrians reported feeling safer on the road, with 10% of the bicyclists, on average, feeling safer after the improvements. There were also economic benefits from this project—pedestrians and bicyclists were overrepresented in those who stopped en route to transit for food and drink. The evidence suggested that the SR2T program positively affected the decision to walk and bicycle to access transit. The program is recommended for expansion to additional sites.
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Mirza, Saema, Muneeza Mirza, Habib Chotani, and Stephen Luby. "Risky behavior of bus commuters and bus drivers in Karachi, Pakistan." Accident Analysis & Prevention 31, no. 4 (July 1999): 329–33. http://dx.doi.org/10.1016/s0001-4575(98)00025-6.

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Dissertations / Theses on the topic "Bus drivers – Behavior – Evaluation"

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Wachana, Paul Herman. "Modeling the Role of Operational Characteristics in Safety Performance of PublicTransportation Systems: The Case of TriMet Bus Collision and Non-collision Incidents." PDXScholar, 2010. https://pdxscholar.library.pdx.edu/open_access_etds/545.

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The incidence of bus crashes in the US have been trending upwards, with accident, injury and fatality rates increasing 171%, 37.8%, and 5.1% respectively, between 2003 and 2007. Reversing the upward trend is an important objective of both transit providers and the society in general. This study introduces an operator-based safety methodology that utilizes data recovered from transit Intelligent Transportation Systems (ITS) technologies and related systems to identify and assess factors contributing to bus operations safety incidents at TriMet, the transit provider for the Portland, Oregon metropolitan region. The analysis specifically focuses on collision, non-collision and total incidents, as well as on preventability of incidents that occurred between 2006 and 2009. Regression analysis established that bus operator age, experience, short duration absenteeism from work, operator's work span and variability in daily work span/assignments are empirically correlated with bus safety incidents. In addition, schedule adherence pressures and bus lift operations are also related to safety incidents. The other factors that influence safety performance are operators' responsive action events and customer complaints about unsafe bus operation. These findings make some contributions to the understanding of the factors that are empirically related to the frequency of safety incidents as well as offer insights into operation practices and policies that hold promise for reducing bus safety incidents.
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Sims, Brian K. "Driving and Thriving: School Bus Drivers and the Behavior Management Strategies They Use." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etd/2423.

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The purpose of this study was first to determine the satisfaction level of bus drivers pertaining to school building administration, transportation department, and student behaviors, and second to identify the common behavior management strategies used by bus driver in a particular school system in east Tennessee. I also compared the common behavior management strategies used by school bus drivers who are also employed by the school system in some position in addition to this vocation with school bus drivers who are not employed by the school system other than driving the school bus. I also compared behavior management strategies in the following categories: age, years of experience, and gender. For this quantitative element of the study, I requested bus drivers who met the criteria complete an anonymous survey. The survey had 20 items that focus on the bus drivers' satisfaction in areas of school building administration, transportation department, and student behavior. Bus drivers responded to each item by selecting responses on a 5-point scale from extremely dissatisfied to extremely satisfied, with neutral being the middle point. A single sample t-test was conducted and the results showed bus drivers were satisfied to a significant extent with school building administration and transportation department, while bus drivers were neither satisfied or dissatisfied with student behavior. Bus drivers also ranked their top five behavior management strategies. Results were categorized by age, years of experience, gender, and whether they were employed by the school system in another position. The overall top five behavior management strategies by bus drivers were 1) Assigning a student to a particular seat, 2) Reporting students to school building administration, 3) Moving a student to a particular seat during the bus route, 4) Use of video surveillance, and 5) Discussing a student's behavior with a parent or guardian. I also interviewed 10 school building administrators in the same school system for their perspective on student behavior management strategies recommended for bus drivers to use on school buses and also their perspective on the impact student behavior on a school bus has on a student at school. Responses were also solicited from school building administrators of their perspective of driver management practices that seem most and least conducive to managing and preventing behaviors on buses. I recorded the responses given to these questions and listed the responses along with any additional comments from administrators. Most of the responses correspond with the responses bus drivers gave in their interviews. Half of the administrators stated school buses should be operated like a classroom with rules and consequences.
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Barnwell, Mackenzie S. "Evaluation of Occupational Exposure to In-Bus Traffic Related Air Pollution Concentrations and Noise Levels for Bus Drivers." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623166803096552.

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Cornett, Joshua Stephen. "Policies and Practices for Improving Student Bus Behavior: A Delphi Study." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/75193.

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Students' behavior on buses continues to be an issue that requires administrators to spend significant time investigating and applying consequences for the behavior (Neatrour, 1994; Pattington, 1945; Putnam, Handler, Ramirez-Plat, and Luiselli, 2003). The purpose of this study was to identify policies and practices that may improve student bus behavior. Two research questions were addressed: (a) What policies could school districts implement to facilitate the improvement of student bus behavior? (b) What practices could school districts implement to facilitate the improvement of student bus behavior? A three-round Delphi technique was used to conduct the research. The goal was to obtain consensus among experts on the policies and practices that school districts could implement to improve student bus behavior. A panel of 22 experts on student bus behavior participated in one or more rounds of the study. Panelists were selected based on their involvement with and knowledge of student bus behavior and their geographic location, using the five-region structure of the National Association for Pupil Transportation. This process resulted in a broad representation of experts on student bus behavior throughout the United States. The panel of experts included superintendents, directors of transportation, principals or assistant principals, bus drivers, presidents of out-sourced school transportation companies, authors, researchers, and members of the National Association for Pupil Transportation Board of Directors. Panelists recommended 19 policies and 284 practices for school districts to implement to improve student bus behavior. Based on the consensus of the panelists, student bus behavior could be improved if polices were enacted in eight areas: bus driver responsibility, stakeholder training, bus driver evaluation through observation, student consequences for assaulting a bus driver, bus ridership, bus surveillance technology, bus routes for special education students, and a district-wide universal transportation system with supporting programs. Panelists indicated that student bus behavior could be improved if practices were implemented in nine areas: stakeholder communication, bus driver knowledge, stakeholder training content, stakeholder training processes, stakeholder daily practices, the enforcement of policies and procedures, positive behavior support systems, data analysis, and a district advisory committee.
Ed. D.
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Vieira, Fábio Sartori. "Evaluation of drivers\' behavior performing a curve under mental workload." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/18/18143/tde-07072016-151918/.

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Driving under distraction may lead drivers to wrong actions that can result in serious accidents. The objective of this thesis was to apply a driving simulator to verify variations in drivers\' behavior while driving. Behavior to drive on a curve was measured by variation in drivers\' speed profile in a virtualized highway. The comparison was performed between two identical simulations, one involving drivers distracted with a mental workload, and other in which they were full aware of driving task. 54 volunteer drivers took part in this study, which was divided into 4 stages. 17 drivers performed the distraction test known as PASAT, and results showed that distracted drivers did not recognize the beginning of the curve and drove through it at speeds higher than those when they were fully aware. Moreover, driving performance was increased when drivers were aware of driving, thereby hitting high speeds in tangents, but perceiving curves in advance to reduce acceleration. This study confirms that driving simulators are beneficial in discovering drivers\' behavior exposed to activities that could be highly risky if driving in real situations.
A distração durante a atividade de direção pode levar o condutor de veículos automotores a cometer falhas, que podem ocasionar até mesmo acidentes graves. Este estudo aborda a utilização de simuladores de direção para verificar variações no comportamento de motoristas ao realizar a atividade de direção, distraídos ou com plena atenção na condução do veículo. O comportamento é medido pela variação no perfil de velocidade dos condutores para desenvolver uma curva considerada perigosa em uma rodovia simulada em ambiente virtual. A variação de velocidade deste perfil é comparada entre duas simulações idênticas, onde em uma delas os condutores estão distraídos com um teste que proporciona estresse mental e, na outra, estão com plena atenção à direção. 54 condutores fizeram parte deste estudo dividido em 3 etapas. 17 participantes realizaram o teste de distração conhecido como PASAT, e a análise dos resultados mostram que, distraídos, os condutores não perceberam o início da curva e desenvolveram velocidades maiores durante seu trajeto. Além disso, quando estavam com plena atenção à atividade de direção, o desempenho dos condutores foi melhor, atingindo velocidades maiores nas tangentes, mas percebendo as curvas antecipadamente e reduzindo suas velocidades antes de iniciar esses trechos.
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Smetters, Harriet L. "Factor analyses of the Alcadd Test and the Manson Evaluation for DUI drivers /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487267546983199.

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Edwards, Michelle. "Evaluation of traveler information on driver behavior in southeast Wyoming." Laramie, Wyo. : University of Wyoming, 2008. http://proquest.umi.com/pqdweb?did=1799711391&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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Grove, Kevin. "Evaluation of Package Delivery Truck Drivers: Task Analysis and Development/Validation of an Objective Visual Behavior Measure to Assess Performance." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/33345.

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The job of a package delivery driver (PDD) is complex and demanding. These drivers must possess many skills in order to succeed in their work, including physical stamina, appropriate decision-making, positive customer interaction, and most importantly, operational safety. Companies must use significant resources, not only to provide insurance for existing drivers, but also to train new drivers to use their visual attention effectively while driving, and companies have a vested interest in ensuring that the most capable trainees are selected for jobs. Currently, subjective assessments of supervisors or managers are typically used to make these determinations. While these are valuable methods for assessing drivers, an objective measure of how well the driver is using his/her visual attention would both assist evaluators in making judgments, as well as make those judgments more accurate. The purpose of the study described herein was to 1) conduct a task analysis of the driving component of the PDD job responsibilities, and 2) create and test an objective measure that a package delivery company could use to evaluate the performance of its drivers. A detailed task analysis based on numerous observations of drivers in their normal work routines was conducted for this research in order to understand these complex tasks. A framework was created for understanding this system of tasks, which was then used to organize all tasks that drivers were observed to perform into more general, goal-oriented activities. Using this task analysis, incidents were identified that were observed while drivers were behind the wheel. This information demonstrated that breakdowns were occurring within the tasks drivers were performing and that improved methods of training and evaluations may be needed as a result. A construct of visual behavior called Head Down Time (HTD) was then created and tested. An individual HDT is defined as the sum of time of all eye gazes away from the primary display (i.e. windshield) between two distinct eye gazes at the primary display while the vehicle is in motion. HDT was evaluated for its ability to differentiate levels of experience between drivers, its relationship to types of route on which drivers delivered, and its relationship to the driving-related incidents that were observed. HDTs were shown to be differed significantly between drivers of low and high experience, with experienced drivers displaying shorter durations of HDT when compared to inexperienced drivers. HDTs also differed in duration when analyzed by the type of route upon which drivers operated. Commercial and urban routes, while not significantly different with respect to HDT, were shown to have increased HDT durations when compared to rural routes and, in turn, residential routes were found to have significantly longer HDTs than did rural routes and may have significantly shorter durations compared to commercial and urban. Finally, HDTs that were associated with observed driving incidents in terms of chronological proximity were shown to be of significantly longer duration than were HDTs that were not associated with incidents. All tests were conducted using appropriate statistical measures, including t-tests at a level of α = 0.05 for each dataset. Applications of this research include: 1) improvement of PDD training and evaluation methods through use of a detailed task analysis, 2) improvement in how package delivery companies define incidents and train PDD toward the prevention of incidents based on task analysis and observations as to incident frequency, and 3) the further development of HDT as a possible objective measure to supplement the training and evaluation of PDD.
Master of Science
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Jun, Jungwook. "Potential Crash Measures Based on GPS-Observed Driving Behavior Activity Metrics." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/19832.

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Identifying and understanding the relationships between observed driving behavior over long-term periods and corresponding crash involvement rates is paramount to enhancing safety improvement programs and providing useful insights for transportation safety engineers, policy markers, insurance industries, and the public. Unlike previous data collection methods, recent advancement in mobile computing and accuracy of global positioning systems (GPS) allow researchers to monitor driving activities of large fleets of vehicles, for long-time study periods, at great detail. This study investigates the driving patterns of drivers who have and who have not experienced crashes during a 14-month study period using the longitudinally collected GPS data during a six-month Commute Atlanta study. This investigation allows an empirical investigation to assess whether drivers with recent crash experiences exhibit different driving or activity patterns (travel mileage, travel duration, speed, acceleration, speed stability duration, frequency of unfamiliar roadway activities, frequency of turn movement activities, and previous crash location exposures). This study also discusses various techniques of implementing GPS data streams in safety analyses. Finally, this study provides useful guidance for researchers who plan to evaluate the relationships between driver driving behavior and crash risk with large sample data and proposes driving behavior activity exposure metrics of individual drivers for possible safety surrogate measures as well as for driver re-training and education programs.
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Balbinot, Amanda Bifano. "Desenvolvimento e aplicação de um método de avaliação do comportamento de risco em condutores." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/29329.

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O interesse principal desta pesquisa é a investigação, o desenvolvimento e a aplicação de um método que permita identificar e avaliar a ocorrência de comportamentos de risco em condutores com habilitação categoria B, na cidade de Porto Alegre. Esse método está fundamentado em trabalhos que caracterizam o cometimento de erros, lapsos e violações que ensejam o envolvimento em acidentes de trânsito. Tais trabalhos embasam a elaboração e a discussão deste estudo e também a teoria da Homeostase do Risco, as funções psicológicas, cognitivas e os aspectos legais envolvidos no ato de dirigir, assim como o desenvolvimento de jogos e simuladores de condução. Os instrumentos utilizados constituem-se de um jogo digital de situações de trânsito e de um questionário digital sobre o comportamento de condutores, ambos desenvolvidos com base no Driver Behavior Questionnaire (DBQ)1 e em dados estatísticos sobre as infrações mais cometidas. Os comportamentos de risco que apresentaram maior incidência, com a aplicação do método, correspondem aos dados estatísticos sobre as principais infrações cometidas por condutores. A correlação entre os dados obtidos com o Questionário e o Jogo demonstrou, na amostra estudada, não haver associação significativa entre os dois instrumentos na maioria das situações abordadas. Isso denota não haver relação direta entre os instrumentos, vistos aqui como independentes, mas complementares. Dessa forma, à luz do método proposto, podem-se tornar maiores as possibilidades de análise sobre o comportamento de risco no trânsito, bem como com a continuidade de pesquisas na área. A identificação de forma precoce de fatores preditores de comportamentos de risco tem sua relevância por corroborar para a efetividade das intervenções preventivas.
This research main interest is the development and implementation of a method for identifying and evaluating the occurrence of risk behaviors in category B drivers license in the city of Porto Alegre, Brazil. This method is based on studies characterizing the carried errors, lapses and violations that lead to involvement in traffic accidents. Such works underlie this study’s development and discussion and also the risk homeostasis theory, the physiological functions, cognitive, and the legal aspects involved in driving acts, as well as the games development and driving simulators. The used instruments are made up of a digital role of some traffic situations and a digital questionnaire about the drivers behavior, both developed based on the Driver Behavior Questionnaire (DBQ)1 and in the statistics about more performed infractions. Risk behaviors that had the highest incidence correspond to the statistical data about the major infractions committed by drivers. The correlation among obtained data with the Questionnaire and the game showed no significant association between the two instruments in the most covered situations. This indicates that there is no direct relationship among the instruments seen here as independent but complementary. By the proposed method, the potential for analysis of the traffic risk behavior may become greater, as well as the further research in this area. The risk behavior’s predictors identification in an earlier time has their relevance for the preventive interventions effectiveness.
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Books on the topic "Bus drivers – Behavior – Evaluation"

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Moffat, Gayland K. A challenged employment system: Hiring, training, performance evaluation, and retention of bus operators. Washington, D.C: National Academy Press, 2001.

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United States. National Transportation Safety Board. Greyhound bus run-off-the road accidents: Donegal, Pennsylvania, June 26, 1991 and Caroline, New York, August 3, 1991. Washington, D.C: The Board, 1992.

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Roberts, Robert A. Application of behavior change theory to the development of an enhanced California negligent operator treatment and evaluation system. [Sacramento, CA]: California Dept. of Motor Vehicles, 2002.

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California. Bureau of State Audits. Los Angeles County Metropolitan Transportation Authority: Planning and budgeting of its operations and bus plan need improvement. Sacramento, Calif: The Auditor, 1995.

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Powers, Jerry. FTA drug and alcohol program assessment. [Washington, D.C.]: U.S. Dept. of Transportation, Federal Transit Administration, FTA Office of Safety and Security, 2002.

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Audits, California Bureau of State. Los Angeles County Metropolitan Transportation Authority: Converting its poorly performing alcohol-fueled buses to diesel is the most cost-effective option available. Sacramento: California State Auditor, Bureau of State Audits, 1999.

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California. Bureau of State Audits. Los Angeles County Metropolitan Transportation Authority: It can increase its efforts to ensure the safe operation of its buses. Sacramento: California State Auditor, Bureau of State Audits, 2001.

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Greyhound bus run-off-the road accidents: Donegal, Pennsylvania, June 26, 1991 and Caroline, New York, August 3, 1991. Washington, D.C: The Board, 1992.

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Greyhound bus run-off-the road accidents: Donegal, Pennsylvania, June 26, 1991 and Caroline, New York, August 3, 1991. Washington, D.C: The Board, 1992.

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Impact of behavior-based safety techniques on commercial motor vehicle drivers. Washington, D.C: Transportation Research Board, 2007.

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Book chapters on the topic "Bus drivers – Behavior – Evaluation"

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Xian, Hua-cai, Weichao Chen, Meng Zhang, Qun Zhou, and Dong-mei Yang. "Research on the Evaluation Focus of Bus Drivers’ Safety Capability." In Green Intelligent Transportation Systems, 645–54. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0302-9_63.

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Sivasankaran, Sathish Kumar, Rahul Bharadwaj, and Venkatesh Balasubramanian. "Subjective Evaluation of Musculoskeletal Disorders Among Fatal and Nonfatal Bus Drivers in Different Scenarios." In Design Science and Innovation, 601–7. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9054-2_69.

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Campbell, Jacob D., Bhaven Naik, Justice Appiah, and Kakan Dey. "An Evaluation of Driving Behavior for “Right-Way” Drivers in Wrong-Way Driving Events." In Advances in Human Aspects of Transportation, 17–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80012-3_3.

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Wood-Black, Frankie. "Unintended Consequences: Evaluation of the Pros and Cons of New Technologies and Regulatory Drivers as They Relate to the Potential Changes in Behavior and Infrastructure." In ACS Symposium Series, 143–54. Washington, DC: American Chemical Society, 2012. http://dx.doi.org/10.1021/bk-2012-1116.ch008.

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Chang, Chien-Yen, and Ting-Wei Chang. "The Development of Parameters and Warning Algorithms for an Intersection Bus-Pedestrian Collision Warning System." In Implementation and Integration of Information Systems in the Service Sector, 163–82. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2649-2.ch011.

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This study presents the conceptual design of an intersection bus-pedestrian collision warning system for bus drivers approaching an intersection. The basic parameters of the proposed design concept include the bus drivers’ perception-reaction time, the emergency deceleration rate of the bus, and pedestrian walking speed. A bus driving simulation was designed and conducted to analyze bus drivers’ responses to unexpected pedestrians crossing unsignalized intersections or signalized intersections during a green light interval for parameter analysis. The timings of auditory warnings and visual warnings, the locations for vehicle detectors and pedestrian detectors, and the locations for visual warning devices were also developed after analyzing the experimental results. The experimental results also highlight some important characteristics of bus driving behavior at intersections. Moreover, bus drivers really pay attention to the warning messages. Finally, this study develops and discusses some warning algorithms.
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Efe, Ömer Faruk, and Burak Efe. "Ergonomic Analysis of Air Conditioned Bus Stops." In Advances in Environmental Engineering and Green Technologies, 185–95. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4915-5.ch010.

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Today, public spaces have changed depending on the differentiating human needs. The purpose of the study is to bring together a variety of users and to discuss a life in which various actions such as gathering and meeting take place in cities by taking an example based on the concept of ergonomics based on the human factor. In the study, the relationship between human behavior and physical environment, air-conditioned bus stops in Gümüşhane city, which is one of the places offered for different user groups, was examined. Arrangements for the use of the physical environment for people in many cities have not yet reached the desired level. Ergonomic evaluation of the effectiveness of all human-oriented studies will increase the importance and value of the work done. The more psychological and emotional needs of people provide, the more people will have access to a society with increased satisfaction.
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Kim, Min-Jun, Chiehyeon Lim, and Kwang-Jae Kim. "Design of Public Services Using Operational Data Analysis." In Analytics, Operations, and Strategic Decision Making in the Public Sector, 20–36. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7591-7.ch002.

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Various types and massive amounts of data are collected in public sectors, such as transportation, healthcare, and security. Such proliferation of big data facilitates and improves the strategic decision making in the context of public service design. However, the application of big data to public service design, understanding on this topic still remains limited. This chapter presents a case study on designing a service concept for enhancing the driving safety of bus drivers by using their behavior data. Based on this case study, the application of big data for designing public services was empirically identified and various managerial issues facing data-driven service design were recognized. This study extends the research on public service design by revealing how big data can be utilized for public service design.
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Sima, Violeta, and Ileana Georgiana Gheorghe. "Customer Satisfaction in the Consumption of Green Products." In Advances in Marketing, Customer Relationship Management, and E-Services, 59–92. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2139-6.ch004.

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This chapter aimed to identify those factors that determine the green consumer satisfaction, having as the emerging point the consumer behavior definition and the sustainable development concept. The authors propose a new approach of the dimensions of the evaluation model for customer satisfaction including a new one, called The Green Dimension. An important goal was identifying the drivers of the consumer purchasing. The authors identified three main areas of the green dimension of customer satisfaction. They are related to Company, Product/service, and Price. Then some considerations regarding an integrated approach of strategic mix from a ‘green' perspective have been presented. According to research from Boston Consulting Group, in order to obtain a Green Advantage, companies should enhance their strategic mix taking into considerations green planning, green processes, green product, and green promotion. The authors added two more elements, namely people and eco-efficiency, resulting “The Green Strategy Mix”.
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Sima, Violeta, and Ileana Georgiana Gheorghe. "Green Customer Satisfaction." In Green Business, 153–80. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7915-1.ch008.

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This chapter aims to identify those factors that determine green consumer satisfaction, having as the emerging point the definition of consumer behavior and the concept of sustainable development. The authors propose a new approach of the dimensions of the evaluation model for customer satisfaction including a new one, called The Green Dimension. An important goal is identifying the drivers of the consumer purchasing. The authors identify three main specific levels of the green dimension of customer satisfaction. They are related to: Company, Product/Service, and Price. Then some considerations regarding an integrated approach of strategic mix from a ‘green' perspective are presented. According to the U.S. consultancy Boston Consulting Group, in order to obtain a Green Advantage, companies should enhance their strategic mix, taking into consideration green planning, green processes, green product and green promotion. The authors add two more elements, namely people and eco-efficiency, resulting “The Green Strategy Mix”.
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Sima, Violeta, and Ileana Georgiana Gheorghe. "Customer Satisfaction in the Consumption of Green Products." In Green Business, 1161–94. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7915-1.ch057.

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This chapter aimed to identify those factors that determine the green consumer satisfaction, having as the emerging point the consumer behavior definition and the sustainable development concept. The authors propose a new approach of the dimensions of the evaluation model for customer satisfaction including a new one, called The Green Dimension. An important goal was identifying the drivers of the consumer purchasing. The authors identified three main areas of the green dimension of customer satisfaction. They are related to Company, Product/service, and Price. Then some considerations regarding an integrated approach of strategic mix from a ‘green' perspective have been presented. According to research from Boston Consulting Group, in order to obtain a Green Advantage, companies should enhance their strategic mix taking into considerations green planning, green processes, green product, and green promotion. The authors added two more elements, namely people and eco-efficiency, resulting “The Green Strategy Mix”.
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Conference papers on the topic "Bus drivers – Behavior – Evaluation"

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Abdulmawjoud, Ayman, and Abdulkhalik AL-Taei. "Pedestrians Crossing Behavior Models on Midblock Suburban Area in Dohuk City." In INTERNATIONAL CONFERENCE ON ARCHITECTURAL AND CIVIL ENGINEERING 2020. Cihan University-Erbil, 2021. http://dx.doi.org/10.24086/aces2020/paper.242.

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In this study, ten pedestrian crossing spots located in Dohuk City suburban area were selected to make analysis and evaluation to the behavior of the people crossing the main streets, and walking on sidewalks according to their genders. Data was collected using double video cameras fixed on selected points to observe pedestrian movements along crossings and sidewalks, their interaction with drivers, and vehicles conflicting them. Data compiled was classified and presented to measure numbers of moving vehicles, people, vehicle gaps, space, pedestrian unit flow, speeds of both pedestrians and vehicles passing the crossing lines on suburban midblock. Data was presented using Dohuk City GIS up-to-date map taken from the city Municipality Directorate. Data analysis was implemented, and different empirical models were chosen to study the different interactions and effects of human, geometric, and vehicular traffic parameters on the behavior of pedestrians crossing, and walking on crosswalks and sidewalks respectively. Results show that in crosswalks, pedestrian flow with their speeds were polynomial in nature, while unit flow and speed relationships with density were linearly correlated. The relation between unit flow and their speed (for both male and female) on suburban sidewalks is Polynomial 2nd degree, and the optimum walking speed obtained is 1.16 and 1.0 m/sec for male and female respectively, with minimum walking speed for females are lower than male but the maximum walking speed is similar.
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Fancher, P., and Z. Bareket. "Emulating the Behavior of Truck Drivers in the Longitudinal Control of Headway." In International Truck & Bus Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1999. http://dx.doi.org/10.4271/1999-01-3706.

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Zayerzadeh, Ali, and Nasir Baradaran Rahmanian. "PW 2047 Intercity public bus drivers’ behavior modeling in iran." In Safety 2018 abstracts. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/injuryprevention-2018-safety.220.

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Liu, Shida, Xuyun Wang, Li Wang, Xiaoping Zhang, and Zhonghe He. "Abnormal Behavior Analysis Strategy of Bus Drivers Based on Deep Learning." In 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2021. http://dx.doi.org/10.1109/ddcls52934.2021.9455574.

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Zhao, Weihua, Lihua Wang, Haoyi Bian, and Haoxue Liu. "The Evaluation of Safety Consciousness of Bus Drivers on the Highway." In Second International Conference on Transportation Information and Safety. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413036.196.

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Diederichs, J. P. Frederik, Betina Weber, and Melanie Ganzhorn. "Experimental evaluation of ITST based school bus stop notifications for car drivers." In 2011 11th International Conference on ITS Telecommunications (ITST). IEEE, 2011. http://dx.doi.org/10.1109/itst.2011.6060080.

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Landry, S., M. Jeon, P. Lautala, and D. Nelson. "Getting Active With Passive Crossings: Investigating the Use of In-Vehicle Auditory Alerts for Highway-Rail Grade Crossings." In 2016 Joint Rail Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/jrc2016-5827.

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This paper investigates the plausibility of a novel in-vehicle auditory alert system to warn drivers of the presence of railroad crossings. Train-Vehicle collisions at highway-rail grade crossings continue to be a major issue despite improvements over the past several decades. In 2014 there were 2,286 highway-rail incidents leading to 852 injuries and 269 fatalities. This marked the first time in the past decade that incident rates increased from the previous year. To prevent the overall trend in safety improvement from plateauing, interest is shifting towards novel warning devices that can be applied to all crossings at minimal cost. These novel warnings are intended to complement but not replace the primary visual warnings that are already in place at both active and passive crossings. Few in-vehicle warning systems have been described and tested in the rail safety literature. The ones that have been described only manipulate the modality or reliability of the warning message, and pay little attention to message content, timing of presentation, mappings between crossing events and warning logic, and driver habituation associated with long term use. To this end, a line of research has been being carried out to design in-vehicle auditory alerts and measure subjective preference and driver behavior in response to in-vehicle auditory alerts. The first study included a subjective evaluation of potential auditory cues. Cues rated as most effective and appropriate were included in the design of prototype systems in the follow up study. The second study will measure compliance rates in a driving simulator with and without in-vehicle auditory alerts. The results of first study and the study design for the second study are discussed.
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Rapone, M., L. Della Ragione, and G. Meccariello. "Characterization of real world bus driving behavior for emission evaluation." In 8th International Conference on Engines for Automobiles. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2007. http://dx.doi.org/10.4271/2007-24-0112.

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Rocha, Larissa, and Maria Nunes. "Evaluation of whole body vibration levels in urban bus drivers of the Federal District." In 25th International Congress of Mechanical Engineering. ABCM, 2019. http://dx.doi.org/10.26678/abcm.cobem2019.cob2019-0506.

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Potzy, Johannes, Sophie Feinauer, Karl-Heinz Siedersberger, and Klaus Bengler. "Manual Drivers’ Evaluation of Automated Merging Behavior in Dense Traffic: Efficiency Matters." In 2019 IEEE Intelligent Transportation Systems Conference - ITSC. IEEE, 2019. http://dx.doi.org/10.1109/itsc.2019.8917346.

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