Relevant bibliographies by topics / Truck drivers

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Truck drivers'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Truck drivers"

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Khan, Waleed A., and Aemal J. Khattak. "Injury Severity of Truck Drivers in Crashes at Highway-Rail Grade Crossings in the United States." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 10 (June 11, 2018): 38–47. http://dx.doi.org/10.1177/0361198118781183.

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The physical and operational characteristics of large trucks distinguish them from other types of vehicles in terms of facility design needs and safety requirements. A critical node in the surface transportation network is the highway-rail grade crossing (HRGC) because it represents a conflict point between different modes of transportation. The focus of this research was to identify factors related to different injury severity levels of truck/truck-trailer drivers in crashes reported at HRGCs. This study utilized a mixed logit model to investigate injury severity of those drivers and relied on 2007–2014 Federal Railroad Administration (FRA) crash and inventory data involving trucks/truck-trailers. Results showed that truck/truck-trailer drivers’ injuries in crashes reported at HRGCs were positively associated with train speed, when train struck the road user (truck/truck-trailer), when the driver “went around crossing gates”, older drivers, crashes reported in rural areas, and crashes at crossings with a minimum crossing angle of 60–90 degrees. Presence of crossbucks, gates, track obstructions, and HRGCs located within 500 feet of a highway were associated with relatively less severe driver injuries. The paper provides recommendations for safety improvements at HRGCs and recommendations for future research.
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Wu, Lan, Qi Shen, and Gen Li. "Identifying Risk Factors for Autos and Trucks on Highway-Railroad Grade Crossings Based on Mixed Logit Model." International Journal of Environmental Research and Public Health 19, no. 22 (November 16, 2022): 15075. http://dx.doi.org/10.3390/ijerph192215075.

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This study aimed to determine different influencing factors associated with the injury outcomes of heavy vehicle and automobile drivers at highway–rail grade crossings (HRGCs). A mixed logit model was adopted using the Federal Railroad Administration (FRA) dataset (n = 194,385 for 2011–2020). The results show that drivers’ injury severities at HRGCs are enormously different between automobile and truck/truck–trailer drivers. It was found that vehicle speed and train speed significantly affect the injury severity in automobile and truck drivers. Driver characteristics such as gender and driver actions significantly impact the injury severity in automobile drivers, while HRGC attributes such as open space, rural areas, and type of warning device become significant factors in truck models. This study gives us a better understanding of the differences in the types of determinants between automobiles and trucks and their implications on differentiated policies for car and truck drivers.
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Freire, Melissa R., Cassandra Gauld, Angus McKerral, and Kristen Pammer. "Identifying Interactive Factors That May Increase Crash Risk between Young Drivers and Trucks: A Narrative Review." International Journal of Environmental Research and Public Health 18, no. 12 (June 16, 2021): 6506. http://dx.doi.org/10.3390/ijerph18126506.

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Sharing the road with trucks is associated with increased risk of serious injury and death for passenger vehicle drivers. However, the onus for minimising risk lies not just with truck drivers; other drivers must understand the unique performance limitations of trucks associated with stopping distances, blind spots, and turning manoeuverability, so they can suitably act and react around trucks. Given the paucity of research aimed at understanding the specific crash risk vulnerability of young drivers around trucks, the authors employ a narrative review methodology that brings together evidence from both truck and young driver road safety research domains, as well as data regarding known crash risks for each driving cohort, to gain a comprehensive understanding of what young drivers are likely to know about heavy vehicle performance limitations, where there may be gaps in their understanding, and how this could potentially increase crash risk. We then review literature regarding the human factors affecting young drivers to understand how perceptual immaturity and engagement in risky driving behaviours are likely to compound risk regarding both the frequency and severity of collision between trucks and young drivers. Finally, we review current targeted educational initiatives and suggest that simply raising awareness of truck limitations is insufficient. We propose that further research is needed to ensure initiatives aimed at increasing young driver awareness of trucks and truck safety are evidence-based, undergo rigorous evaluation, and are delivered in a way that aims to (i) increase young driver risk perception skills, and (ii) reduce risky driving behaviour around trucks.
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Koralewski, Grzegorz, Iga Karolak, Michał Koralewski, and Rafał Wrona. "Compliance with traffic safety regulations in road freight transport." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 20, no. 1-2 (February 28, 2019): 287–94. http://dx.doi.org/10.24136/atest.2019.052.

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The paper discuss the issues of safe transport of goods by road transport in the aspect of constantly increasing traffic intensity. The aspiration of the transport companies owners is to maximize profits even at the price of non-compliance with applicable traffic regulations, especially in the field of drivers' working hours. It often causes dangerous traffic situations, resulting in accidents, and their main cause is driver fatigue. The paper presents research regarding the knowledge of traffic regulations, in particular on the applicable standards of working time for truck drivers. The most frequent causes of violation of driver's working time frame caused by the drivers themselves, as well as forced by transport companies owners, forwarders or dispatchers were subject to the research. The ergonomic conditions of the driver’s cabin and trucks equipment as well as the health consequences of professional drivers were also analyzed.
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Rassafi, Amir Abbas, Mirbahador Yazdani, and Bahram Shirini. "Cross Sectional Crash Severity Analysis among Various Vehicle Driver Characteristics." Civil Engineering Journal 4, no. 9 (September 30, 2018): 2143. http://dx.doi.org/10.28991/cej-03091146.

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The current study evaluated road crashes in three categories of drivers: passenger car drivers, heavy vehicle drivers and pickup truck drivers. The crash data of road crashes that occurred from 2009 to 2012 in Iranian suburban roads were analyzed. The crashes involved 194,041 damage, 9,677 injury and 1,303 fatality crashes. Because of the ordinal nature of crash severity, ordered logit model was selected for each vehicle driver category. In the passenger car driver category, the independent variables of driver’s gender, driver’s age and driver’s educational level (uneducated, less than high school diploma, high school diploma) were obtained for modeling; in the heavy vehicle driver category, the independent variables of driver’s age and driver’s educational level (uneducated, less than high school diploma) were obtained for modeling, and in the pickup truck driver category, the independent variables of driver’s age and driver’s educational level (uneducated, high school diploma) were obtained for modeling. The variable of driver’s gender with respect to passenger cars shows that crashes by female drivers are more severe than those involving male drivers in suburban roads. Regarding the variable of driver’s age, if the driver’s age increases in each vehicle driver category, the probability of occurrence of a severe crash will decrease. The variable of driver’s educational level shows that the severity of crashes involving a driver that has a low level of education is more compared with a driver that has a high level of education.
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Dubey, Rameshwar, and Angappa Gunasekaran. "The role of truck driver on sustainable transportation and logistics." Industrial and Commercial Training 47, no. 3 (April 7, 2015): 127–34. http://dx.doi.org/10.1108/ict-08-2014-0053.

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Purpose – The purpose of this paper is to identify traits and skills of a truck driver for sustainable transportation, develop a theoretical framework and outline further research directions. Design/methodology/approach – The present study undertakes a review of extant literature and appreciative inquiry, a quasi-ethnographic approach to identify traits and skills of a truck driver. Further, using a pragmatic approach, a theoretical framework has been developed. Findings – The study proposes a theoretical framework, which can be further used for formulating training modules for truck drivers for sustainable transportation and logistics. Research limitations/implications – The present framework needs to be statistically validated using survey data and second, the proposition of the theoretical framework needs to be tested using hierarchical regression analysis. Second, in the study the authors have used AI. However, the authors have only interviewed selected senior police officials. This may lead to bias and to further strengthen the present study, one needs to identify other regulatory authorities and human resource managers of transportation companies. However, in Indian subcontinent situation the trucks are primarily owned by unorganized sector. Hence, the owners may have five to ten trucks and this case there is no human resource manager. However, in such case an interview with truck owners may provide a useful insight. Practical implications – The study has outlined recommendations on the basis of a literature review of extant literature and appreciative inquiry. The recommendations can further help policy makers or technical bodies run by a government agencies or privately managed to develop a training module for truck drivers to meet the future challenges of sustainable transportation. Social implications – This research is related to truck drivers and their welfare as well as how they can contribute to sustainable transportation and logistics. Originality/value – This research attempts to identify traits and skills of a truck driver for a sustainable transportation and logistics, and develops a theoretical framework and outline further research directions. This particular study ventures into new domain (the role of truck driver's role in sustainable logistics and transportation).
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Lee, Suzanne E., Gary S. Robinson, and John G. Casali. "An Investigation of Temporary Threshold Shift and Noise Dose in Contemporary Commercial Trucks." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 2 (October 1997): 998–1002. http://dx.doi.org/10.1177/107118139704100261.

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The Federal Highway Administration (FHWA) currently requires that individuals seeking a commercial driver's license for interstate commerce possess a certain minimal level of hearing. Past studies have shown that truck noise (in certain older vehicles, at least) is loud enough to cause permanent hearing damage if experienced for sufficient durations. There have also been reports that truck drivers have indeed suffered hearing loss, possibly due to their noise exposure. As part of an overall evaluation of the FHWA hearing requirement, pre-and post-workday audiograms were performed on 10 truck drivers to determine whether they suffer a temporary threshold shift (TTS) at the end of the work shift. Dosimeters were used to measure the noise dose for the same 10 drivers. Ten different trucks were used; although the trucks were from three homogenous manufacturer groups, the truck mileage, cargo, and weight variables demonstrated considerable randomness. The results showed that there was no evidence of a TTS among these 10 drivers and that the noise doses experienced by these drivers were all within a range considered safe by OSHA. However, an analysis of pre-work audiograms for 30 truck drivers showed some evidence of a noise-induced permanent threshold shift, when these drivers' audiograms were compared to those of a similar age/gender non-noise exposed population.
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Oron-Gilad, Tal, and David Shinar. "Driver fatigue among military truck drivers." Transportation Research Part F: Traffic Psychology and Behaviour 3, no. 4 (December 2000): 195–209. http://dx.doi.org/10.1016/s1369-8478(01)00004-3.

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Wei, Chien-Hung, Ying Lee, Yu-Wen Luo, and Jyun-Jie Lu. "Incorporating Personality Traits to Assess the Risk Level of Aberrant Driving Behaviors for Truck Drivers." International Journal of Environmental Research and Public Health 18, no. 9 (April 26, 2021): 4601. http://dx.doi.org/10.3390/ijerph18094601.

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Economic globalization and the internet economy have resulted in a dramatic increase in freight transportation. Traffic crashes involving trucks usually result in severe losses and casualties. The fatality and injury rates for heavy truck accidents have been 10 times higher than for sedans in Taiwan in recent years. Thus, understanding driving behavior and risk are important for freight carriers. Since personality traits may result in different driving behaviors, the main objective of this study is to apply artificial neural network (ANN) models to predict the frequency of aberrant driving behavior and the risk level of each driver according to drivers’ personality traits. In this case study, relevant information on truck drivers’ personality traits and their tendency to engage in aberrant driving behavior are collected by using respectively a questionnaire and a fleet surveillance system from a truck company. A relative risk level evaluation mechanism is developed considering the frequency and distribution of aberrant driving behavior. The Jenks natural breaks optimization method and the elbow method are adopted to optimally classify 40 truck drivers into 4 aberrant driving behavior levels and 5 driving risk levels. It was found that 5% of drivers were at the highest aberrant driving behavior level, and 7.5% of drivers were at the highest driving risk level. Based on the results, the proposed models show good and stable predictive performance, especially for the class of drivers with excessive rotation speed, hard acceleration, excessive rotation speed, hard deceleration, and driving risk. With the proposed models, the predictive class for aberrant driving behavior and driving risk can be determined by plugging in a driver’s personality traits before or after employment. Based on the prediction results, the manager of a transportation company could plan the training program for each driver to reduce the aberrant driving behavior occurrence.
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Lotz, Alexander, Nele Russwinkel, and Enrico Wohlfarth. "Take-over expectation and criticality in Level 3 automated driving: a test track study on take-over behavior in semi-trucks." Cognition, Technology & Work 22, no. 4 (March 4, 2020): 733–44. http://dx.doi.org/10.1007/s10111-020-00626-z.

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Abstract With the introduction of advanced driving assistance systems managing longitudinal and lateral control, conditional automated driving is seemingly in near future of series vehicles. While take-over behavior in the passenger car context has been investigated intensively in recent years, publications on semi-trucks with professional drivers are sparse. The effects influencing expert drivers during take-overs in this context lack thorough investigation and are required to design systems that facilitate safe take-overs. While multiple findings seem to cohere in passenger cars and semi-trucks, these findings rely on simulated studies without taking environments as found in the real world into account. A test track study was conducted, simulating highway driving with 27 professional non-affiliated truck drivers. The participants drove an automated Level 3 semi-truck while a non-driving-related task was available. Multiple time critical take-over situations were initiated during the drives to investigate four main objectives regarding driver behavior. (1) With these results, comparison of reaction times and behavior can be drawn to previous simulator studies. The effect of situation criticality (2) and training (3) of take-over situations is investigated. (4) The influence of warning expectation on driver behavior is explored. Results obtained displayed very quick time to hands on steering and time to first reaction all under 2.4 s. Highly critical situations generate very quick reaction times M = 0.81 s, while the manipulation of expectancy yielded no significant variation in reaction times. These reaction times serve as a reference of what can be expected from drivers under optimal take-over conditions, with quick reactions at high speed in critical situations.
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Dissertations / Theses on the topic "Truck drivers"

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Cassel, Shirley T. (Shirley Tamsen). "Validation of a Test Battery for the Selection of Driver Managers in a Trucking Organization." Thesis, University of North Texas, 1990. https://digital.library.unt.edu/ark:/67531/metadc500800/.

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This study was a concurrent validation of a paper and pencil test battery used at a national trucking company. Forty-eight driver managers were rated by their immediate supervisors with the performance appraisal covering 12 dimensions of job behavior that was developed by the experimenter. The driver managers were also administered the Wesman Personnel Classification Test, the Watson-Glaser Critical Thinking Appraisal, and the California Psychological Inventory (CPI). A biographical information blank was also developed and validated. Most validity correlations were nonsignificant, with the exception of the Dominance scale r = .25 (p < .05), the Self-control scale r = -.25 (p < .05), the Communanlity scale r = .29 (p < .05), and the Flexibility scale r = -.39 (p < .05), with overall performance.
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Douglas, Matthew Aaron Swartz Stephen M. "Commercial motor vehicle driver safety an application of ethics theory /." [Denton, Tex.] : University of North Texas, 2009. http://digital.library.unt.edu/permalink/meta-dc-11048.

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Evans, Timothy L. "A study to determine the correlation between the length of formalized training and the driving/safety records of commercial truck drivers." Online version, 2001. http://www.uwstout.edu/lib/thesis/2002/2002evanst.pdf.

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Washington, Debra A. "Retention Strategies for Millennial Long-Haul Truck Drivers." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5956.

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A persistent truck driver shortage and high driver turnover at common carriers limit the effectiveness of some U.S. supply chains. Most driver vacancies result from job hopping, especially among younger drivers. A multiple case study was conducted to explore strategies that some leaders of U.S. common carriers have used to retain millennial-age long-haul truck drivers. Data sources consisted of semistructured, in-person and phone/videoconference interviews; participant observations; and company documents. The sample population was 9 leaders from 6 different common carriers with operations in the southwestern region of the United States who successfully retained millennial long-haul drivers. The conceptual framework was person-organization fit theory. Data were compiled and organized, disassembled into fragments, reassembled into a sequence of groups, and interpreted for meaning. Methodological triangulation and member checking were used to validate the trustworthiness of those interpretations. Five major themes emerged from data analysis: strategic recruiting, competitive compensation, limiting driver time away from home, facilitating driver comfort while away from home, and demonstrating a company culture of driver appreciation. Potentially, carrier leaders can use the lessons learned from this research to reduce driver turnover rates and operating costs and to improve freight reliability for U.S. supply chains. The implications for positive social change include the potential to lower freight costs to shippers and consumers, improve job satisfaction for long-haul drivers, and improve highway safety for truck drivers and motorists.
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Mohamedshah, Yusuf M. "Correlation of truck accidents with highway geometry /." This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-10222009-125005/.

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Chan, Sau Yin. "Cross-border truck driving : negotiating work control and gendering work identity /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?SOSC%202003%20CHAN.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 95-104). Also available in electronic version. Access restricted to campus users.
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Morris, Steven Michael. "Truck Dispatching and Fixed Driver Rest Locations." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19745.

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This thesis sets out to analyze how restricting rest (sleep) locations for long-haul truckers may impact operational productivity, given hours-of-service regulations. Productivity in this thesis is measured by the minimum number of unique drivers required to feasibly execute a set of load requests over a known planning horizon. When drivers may stop for rest at any location, they may maximize utilization under regulated driving hours. When drivers may only rest at certain discrete locations, their productivity may be diminished since they may no longer be able to fully utilize available service hours. These productivity losses may require trucking firms to operate larger driver fleets. This thesis addresses two specific challenges presented by this scenario; first, understanding how a given discrete set of rest locations may affect driver fleet size requirements; and second, how to determine optimal discrete locations for a fixed number of rest facilities and the potential negative impact on fleet size of non-optimally located facilities. The minimum fleet size problem for a single origin-destination leg with fixed possible rest locations is formulated as a minimum cost network flow with additional bundling constraints. A mixed integer program is developed for solving the single-leg rest facility location problem. Tractable adaptations of the basic models to handle problems with multiple lanes are also presented. This thesis demonstrates that for typical long-haul lane lengths the effects of restricting rest to a relatively few fixed rest locations has minimal impact on fleet size. For an 18-hour lane with two rest facilities, no increase in fleet size was observed for any test load set instances with exponentially distributed interdeparture times. For test sets with uniformly distributed interdeparture times, additional required fleet sizes ranged from 0 to 11 percent. The developed framework and results should be useful in the analysis of truck transportation of security-sensitive commodities, such as food products and hazardous materials, where there may exist strong external pressure to ensure that drivers rest only in secure locations to reduce risks of tampering.
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Nygren, Richard Edwin 1964. "Predictive Validity of the Retail Employment Inventory for the Selection of Over-the-Road Truck Drivers." Thesis, North Texas State University, 1988. https://digital.library.unt.edu/ark:/67531/metadc500969/.

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An independent pilot study suggested that the Retail Employment Inventory (REI) might be predictive of subjectively and objectively measured Over the Road (OTR) truck driver performance. The present validation study consisted of three parts. First, an examination of the relationship between REI scores and 11 objective, performance criteria revealed weak and non-significant correlations. Second, a comparison of subjective ratings and REI scores failed to replicate the findings of the pilot study. And third, to confirm that the task components of the OTR job were correctly identified in the pilot study, a second job analysis was performed. Possible reasons for the failure of the REI to predict OTR performance and directions for future research are discussed.
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Desai, Anup. "Obstructive sleep apnoea and driver performance prevalence, correlates, and implications for driver fatigue /." Connect to full text, 2002. http://hdl.handle.net/2123/589.

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Thesis (Ph. D.)--University of Sydney, 2003.
Includes tables and questionnaires. Title from title screen (viewed Apr. 29, 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the Faculty of Medicine. Degree awarded 2003; thesis submitted 2002. Includes bibliography. Also available in print form.
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Mohamedshah, Yusaf M. "Correlation of truck accidents with highway geometry." Thesis, Virginia Tech, 1991. http://hdl.handle.net/10919/45243.

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Growth trends in vehicle transportation for the year 1989 showed that truck travel has increased from 400 billion vehicle miles of travel to 600 billion vehicle miles from 1980 to 1989, a staggering 50% increase. If this trend continues, then truck travel will reach 800 billion vehicle miles by the end of the year 2000. This increase in truck travel poses operational and safety problems for both passenger vehicles and trucks. To improve the existing highway facilities for trucks as well as to determine the design standards for new truck facilities, an understanding of the relationship between truck accidents and highway geometry is required. A number of models have been developed in the past but none of them consider all of the geometric features of the highway which are crucial for truck travel and the causation of truck accidents. The objectives of this study were to identify the roadway variables that affect truck accidents and to develop mathematical models which would determine truck involvement rates, per mile, per year. Data from the Highway Safety Information System (HSIS) was used in this analysis. The HSIS is a new data base developed by FHWA which contains accident, roadway and traffic data from five States. Models for truck accidents on Interstates, 2 lane rural roads, and for over turning accidents on Interstates were developed. The models indicate that truck accidents are primarily affected by horizontal curvature and vertical gradient albeit their values are different for Interstates and 2 lane rural roads. The number of truck accidents decreases on 2 lane rural roads as the shoulder width increases, and the model indicates that gradient has no effect on truck accidents on these roads and this, may be due to the inadequacy of the data. The Interstate model indicates that the higher the degree of curvature and the percentage of gradient, the greater the number of truck accident, as well as overturning truck accident involvement rates.
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Books on the topic "Truck drivers"

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Organisation for Economic Co-operation and Development., ed. Training truck drivers. Paris: Organisation for Economic Co-operation and Development, 1996.

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Iverson, Gregory. Tyler's big blue truck. DeForest, WI: Sandbox Books, 2006.

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M, Calvin Robert, and Highway Users Federation for Safety and Mobility., eds. Truck driver's guide to commercial driver licensing. New York: Arco, 1990.

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Thomas, William David. Truck driver. Pleasantville, NY: Gareth Stevens Pub., 2008.

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Associations, American Trucking, and Professional Truck Driver Institute of America., eds. Tractor trailer driver manual: A guide for professional drivers. Alexandria, VA (2200 Mill Rd., Alexandria 22314): American Trucking Associations, 1989.

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Brad, Penneau, and Smits René, eds. What matters to drivers. Neenah, Wis: J.J. Keller & Associates, 1998.

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Reyes, Francis. Camions passion. Paris: Editions Atlas, 1989.

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United States. National Transportation Safety Board. Case summaries of 189 heavy truck accident investigations. [Washington, D.C.]: The Board, 1988.

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United States. National Transportation Safety Board. Case summaries of 189 heavy truck accident investigations. [Washington, D.C.]: The Board, 1988.

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Safety, Canada Road. Driving behaviour and characteristics of heavy duty truck operators in Canada. Ottawa: Transport Canada,Safety, 1987.

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Book chapters on the topic "Truck drivers"

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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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Pachauri, Saroj, Ash Pachauri, and Komal Mittal. "Sexual Behaviors of Long-Distance Truck Drivers." In SpringerBriefs in Public Health, 61–76. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4578-5_5.

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AbstractTruck drivers are a group of recognized marginalized people who are sexually active during their long driving hours. Their exhausting working environment causing lethargy and mental fatigue stirs them to have sex (Essuon et al. in J Health Care Poor Underserved 20:40–52, 2009, [1]). Long-distance truck drivers transport goods over hundreds and even thousands of miles. They may drive flatbed rigs, which are used for carrying steel, or tankers and tractor trailers. They usually drive at night when traffic is light (American Trucking Associations in Long-haul truck driver: definition and nature of work. American Trucking Associations, Encyclopedia, 2020, [2]). Truck drivers and interstate migrants are important bridge populations for the transmission of HIV infection (Pandey et al. in AIDS 22(5):81–90, 2008, [3]).
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de Bruijn, Freek, and Jacques Terken. "Truck Drivers as Stakeholders in Cooperative Driving." In Lecture Notes in Computer Science, 290–98. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14112-1_23.

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Kleff, Alexander, Christian Bräuer, Frank Schulz, Valentin Buchhold, Moritz Baum, and Dorothea Wagner. "Time-Dependent Route Planning for Truck Drivers." In Lecture Notes in Computer Science, 110–26. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68496-3_8.

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Simoes, Anabela, Patricia Delhomme, Blazej Palat, Alexandra Gheorghiu, Jean-Pascal Assailly, Teodora Stefanova, Giulio Bianchi Piccinini, Loic Josseran, Gilles Vallet, and Juan Pérez. "Identified Risk Factors Among Truck Drivers Circulating in France." In Advances in Intelligent Systems and Computing, 315–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50943-9_40.

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Škerlič, Sebastjan, Robert Muha, and Vanja Erčulj. "Safety Behaviour of Heavy Truck Drivers in International Transport." In TRANSBALTICA XIV: Transportation Science and Technology, 467–75. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52652-7_46.

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Sahoo, Sujeet, Chaganti Sudha, and Prasanta Kumar Bhuyan. "Performance Analysis of Signalized Intersections from Truck Drivers’ Perspective." In Lecture Notes in Civil Engineering, 391–401. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3447-8_20.

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Kaiser, Susanne, Martin Winkelbauer, Erwin Wannenmacher, Philipp Blass, and Hatun Atasayar. "Road Safety Issues Related to Truck Platooning Deployment." In Energy-Efficient and Semi-automated Truck Platooning, 175–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88682-0_13.

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AbstractThe benefits of platooning to road safety are oftentimes inferred based on the assumption of positive effects attributed to advanced driver assistance systems (ADAS). However, the potential to significantly reduce car crashes is just one of many aspects to be considered. The Connecting Austria project was committed to examining road safety issues from various perspectives within Austria. The legislative situation in Austria regarding public tests of automated driving systems was reviewed and requirements discussed. Furthermore, an assessment of the readiness of 700 km road infrastructure was assessed by means of an adapted Road Safety Inspection and recent heavy goods vehicle (HGV) accident figures on motor and expressways were discussed. Eventually, the distance at which HGV should operate cooperatively is a road safety issue demanding for consideration of other road users. Car drivers’ subjective tolerance of gap sizes between trucks can serve as an important indicator to answer this question. An on-road study aiming at operationalising the individual gap acceptance is outlined.
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Kaiser, Susanne, Martin Winkelbauer, Erwin Wannenmacher, Philipp Blass, and Hatun Atasayar. "Road Safety Issues Related to Truck Platooning Deployment." In Energy-Efficient and Semi-automated Truck Platooning, 175–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88682-0_13.

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AbstractThe benefits of platooning to road safety are oftentimes inferred based on the assumption of positive effects attributed to advanced driver assistance systems (ADAS). However, the potential to significantly reduce car crashes is just one of many aspects to be considered. The Connecting Austria project was committed to examining road safety issues from various perspectives within Austria. The legislative situation in Austria regarding public tests of automated driving systems was reviewed and requirements discussed. Furthermore, an assessment of the readiness of 700 km road infrastructure was assessed by means of an adapted Road Safety Inspection and recent heavy goods vehicle (HGV) accident figures on motor and expressways were discussed. Eventually, the distance at which HGV should operate cooperatively is a road safety issue demanding for consideration of other road users. Car drivers’ subjective tolerance of gap sizes between trucks can serve as an important indicator to answer this question. An on-road study aiming at operationalising the individual gap acceptance is outlined.
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Lu, Fangping, and Lynette Cheah. "Applying Gamification to Freight Surveys: Understanding Singapore Truck Drivers' Preferences." In City Logistics 3, 281–97. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119425472.ch16.

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Conference papers on the topic "Truck drivers"

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Goldstein, Igor Fillippe, and Lucia Vilela Leite Filgueiras. "Truck drivers' fatigue and stress." In IHC '19: XVIII Brazilian Symposium on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3357155.3360485.

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Friedrichs, Thomas, Marie-Christin Ostendorp, and Andreas Lüdtke. "Supporting Drivers in Truck Platooning." In AutomotiveUI'16: 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3003715.3005451.

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Gryp, Dennis, and Bruce Bradtmiller. "Anthropometric Study of U.S. Truck Drivers: Methods and Approach." In International Truck & Bus Meeting & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2002. http://dx.doi.org/10.4271/2002-01-3107.

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Hanowski, Richard J., Walter W. Wierwille, Andrew W. Gellatly, Thomas A. Dingus, Ronald R. Knipling, and Robert Carroll. "Drivers' Perspective on Fatigue in Local/Short Haul Trucking." In International Truck & Bus Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1998. http://dx.doi.org/10.4271/982785.

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Trösterer, Sandra, Thomas Meneweger, Alexander Meschtscherjakov, and Manfred Tscheligi. "Transport Companies, Truck Drivers, and the Notion of Semi-Autonomous Trucks." In AutomotiveUI '17: ACM 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3131726.3131748.

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Filiatrault, Daniel D., Peter J. Cooper, and Yvonne Y. Zheng. "Commercial Drivers' Subjective Rating of Stopping Capability of Air-Braked Vehicles." In International Truck & Bus Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2000. http://dx.doi.org/10.4271/2000-01-3475.

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Neto, Catarina, and Anabela Simoes. "Fitting New Needs and Requests of Transport-Related Professions: The Freight Industry and Truck Drivers' Profession." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005318.

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Nowadays society, being characterized by fast technological development, is imposing new educational needs at all educational levels. Therefore, the human resources for a demanding labor market must be prepared for throughout life learning, adapting each one’s activity to the technological development, and have digital skills be creative, and adaptable to technological advances and the related changes, as resources to anticipate, adapt, react, create, and improve in their working context. In this era of change, human capital needs are evolving quickly, imposing new challenges and perspectives on the new generation of students to be qualified in the current labor market. The most advanced industries, like the Automotive and the Transport Sectors, need to attract and keep a skilled and creative workforce, with the motivation and ability to learn throughout life, be comfortable with fast change, and work in an interactive and collaborative environment to design and manage highly complex sociotechnical systems. The new challenges of Industry 4.0 and 5.0, in both the automotive industry and transport sectors, call for educational areas and models that optimize and value soft skills (e.g. cognitive flexibility, intellectual curiosity, critical thinking, adaptability to change, initiative, creativity, and efficient communication in a digital environment). These are competencies and skills for project management and problem-solving, knowledge allowing for understanding the human-system interaction and cooperation, communication skills in multidisciplinary teamwork, adaptability to changes, and an enormous motivation to keep learning throughout life. This interdisciplinary approach imposes, both on research and practice, a need for multidisciplinary teams that are now a reality. So far, our educational system is composed of different levels until the end of high school followed by higher education choices. Thus, there is a gap that should be bridged. As an example, it should be referred to the truck driver’s profession, which is disappearing in most developed countries. The freight industry is fighting to hire a new truck driver. The existing ones are approaching retirement age, and the older ones refuse to learn to work with new in-vehicle technology. However, truck drivers are necessary, having a set of competencies that seem out of their function, generally assumed as just driving a truck. Vehicles equipped with connectivity and cooperative technology, such as modern trucks, particularly, truck platooning systems, require truck drivers with competencies to deal with the in-vehicle and infrastructure-integrated technologies, as well as a diversity of communication requests. If we compare the truck drivers’ profession with the aviation sector since its history, there is a strong difference. The recruitment of a pilot and a truck driver has been very different since the beginning of both professions. However, the new technological requests in the freight industry are changing the conditions to embrace the truck drivers’ profession. Thus, the creation of specific courses addressing the new competencies required for the truck drivers profession should be taken into consideration. This paper intends to propose new concerns, requests, and solutions for improving the freight industry.
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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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Waters, Paul E. "Noise Induced Hearing Loss in Truck Drivers." In SAE Noise and Vibration Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1995. http://dx.doi.org/10.4271/951258.

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Ren, Xinyi. "Factors Associated with Fatigue Among Truck Drivers." In 2021 5th International Seminar on Education, Management and Social Sciences (ISEMSS 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210806.006.

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Reports on the topic "Truck drivers"

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Iwao, Mayumi, and Motoyuki Akamatsu. Driving Attitude/Workload Consciousness of Truck Drivers. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0300.

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Kim, Joseph J., and Jose Alejandro Arroyo Turcios. Economic Evaluation of Route Choice Characteristics for Company Truck Drivers and Owner-Operator Truck Drivers in Southern California Freeways. Mineta Transportation Institute, June 2023. http://dx.doi.org/10.31979/mti.2023.2242.

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To contribute to the understanding of freeway capacity and financing options, this study evaluates the demand for truck-only toll lanes on Southern California freeways. The study implemented surveys to both company truck drivers and owner-operator truck drivers to estimate the value they place on time, reliability, and safety measures. The research team met face-to-face with both types of truck drivers near the Ports of Los Angeles and Long Beach to understand the drivers’ perspectives regarding truck-only toll lanes on Southern California freeways. A data set containing 45 surveys out of 62 survey responses were used for statistical analysis. The results showed that the tolerated toll fees that both types of truck drivers combined were willing to pay ranged from $3.27 an hour to $41.45 an hour with an average of $20.50 an hour during weekdays, while those fees ranged from $3.04 an hour to $36.12 an hour with an average of $18.12 an hour during weekends. Both types of truck drivers are unwilling to pay toll fees for the routes used in six comparisons out of nine, despite sharing a common origin and destination. Data shows that, regardless of ownership type, both types of truck drivers similarly value a route with truck only lanes. The highest toll fee per mile on any day that drivers are willing to pay when the main factor being compared is value of travel time (VOT) is $0.54 per mile or $32.38 an hour. The figures for the value of reliability (VOR) and safety measures are $0.47 per mile or $15.76 an hour and $0.17 per mile or $9.80 an hour, respectively. The VOR is important because it helps shippers and freight carriers make predictable travel times to remain competitive. These results are meaningful for legislators and transportation agencies because the behaviors and route choice characteristics of both types of drivers help them better reduce scheduling costs, understand the utility and demand for truck-only toll lanes, and resolve traffic congestion in the study area.
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Kim, Joseph J., Samuel Dominguez, and Luis Diaz. Freight Demand Model for Southern California Freeways with Owner–Operator Truck Drivers. Mineta Transportation Institute, October 2020. http://dx.doi.org/10.31979/mti.2020.1931.

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This study evaluates the demand for truck-only toll lanes on Southern California freeways with owner–operator truck drivers. The study implemented the stated preference survey method to estimate the value placed by drivers on time, reliability, and safety measures using various scenarios geared towards assessing those values. The project team met face-to-face with owner- operator truck drivers near the Ports of Los Angeles and Long Beach to understand the drivers’ perspectives regarding truck-only toll lanes on Southern California freeways. A data set containing 31 survey responses is obtained and used for statistical data analysis using analysis of variable (ANOVA) and two sample t-tests. The analysis results showed that 75.27% of the owner– operator truck drivers responded are willing to pay toll fees when they choose routes. The tolerated average toll fees are $13.77/ hr and $12.82/hr for weekdays and weekends, respectively. The analysis results also showed that owner–operator truck drivers will take truck-only toll lanes when they take the routes used in four comparisons out of six comparisons according to the three measures such as values of time, reliability, and safety, despite sharing a common origin and destination. The highest toll fee per mile on any day that drivers are willing to pay when the main factor being compared is value of time is $0.31/mile or $18.35/hr. The toll fees associated with reliability and safety measures are $0.30/mile or $8.94/hr and $0.22/mile or $11.01/hr, respectively. These results are meaningful for legislators and transportation agencies as the behaviors and route choice characteristics of owner–operator truck drivers help them better understand the utility and demand for truck-only toll lanes.
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Kelvin, Elizabeth, Gavin George, Eva Mwai, Samuel Kinyanjui, Silas Inoti, Faith Oruko, Jacob Odhiambo, et al. Increasing HIV testing demand among Kenyan truck drivers and female sex workers. International Initiative for Impact Evaluation (3ie), May 2019. http://dx.doi.org/10.23846/tw2ie98.

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Iyer, Ananth V., Samuel Labi, Steven R. Dunlop, Dutt J. Thakkar, Sayak Mishra, Lavanya Krishna Kumar, Runjia Du, Miheeth Gala, Apoorva Banerjee, and Gokul Siddharthan. Heavy Fleet and Facilities Optimization. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317365.

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The Indiana Department of Transportation (INDOT) is responsible for timely clearance of snow on state-maintained highways in Indiana as part of its wintertime operations. For this and other maintenance purposes, the state’s subdistricts maintain 101 administrative units spread throughout the state. These units are staffed by personnel, including snow truck drivers and house snow removal trucks and other equipment. INDOT indicated a need to carry out value engineering analysis of the replacement timing of the truck fleet. To address these questions, this study carried out analysis to ascertain the appropriate truck replacement age, that is different across each of the state's three weather-based regions to minimize the truck life cycle cost. INDOT also indicated a need for research guidance in possible revisions to the administrative unit locations and optimal routes to be taken by trucks in each unit in order to reduce deadhead miles. For purposes of optimizing the truck snow routes, the study developed two alternative algorithmic approaches. The first uses mathematical programming to select work packets for trucks while ensuring that snow is cleared at all snow routes and allowing the users to identify optimal route and unit location. The second approach uses network routing concepts, such as the rural postman problem, and allows the user to change the analysis inputs, such as the number of available drivers and so on. The first approach developed using opensolver (an open source tool with excel) and the second approach coded as an electronic tool, are submitted as part of this report. Both approaches can be used by INDOT’s administrative unit managers for decision support regarding the deployment of resources for snow clearing operations and to minimize the associated costs.
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Muelaner, Jody, ed. Unsettled Issues in Commercial Vehicle Platooning. SAE International, November 2021. http://dx.doi.org/10.4271/epr2021027.

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Platooning has the potential to reduce the energy consumption of commercial vehicles while improving safety; however, both advantages are currently difficult to quantify due to insufficient data and the wide range of variables affecting models. Platooning will significantly reduce the use of energy when compared to trucks driven alone, or at a safe distance for a driver without any automated assistance. Platooning will also reduce stopping distances—multiple states in the US have passed laws authorizing truck platoons to operate at shorter gaps than are authorized for normal, human-driven trucks. However, drivers typically do not currently leave the recommended gaps and, therefore, already gain much of the potential energy savings by drafting lead vehicles, albeit illegally. The automated systems associated with platooning cannot be programmed to flout safety recommendations in the way that human drivers routinely do. Therefore, actual energy savings may be minimal while safety may be greatly improved. More data will be needed to conclusively demonstrate a safety gain. Recommended safe gaps are currently highly generalized and must necessarily assume worst-case braking performance. Using a combination of condition monitoring and vehicle-to-vehicle communications, platooning systems will be able to account for the braking performance of other vehicles within the platoon. If all the vehicles in a platoon have a high level of braking performance, the platoon will be able to operate in a more efficient, tighter formation. Driver acceptance of platooning technology will increase as the systems become more effective and do not displace jobs. The increased loading of infrastructure must also be considered, and there may be requirements for upgrades on bridges or restrictions on platooning operation.
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Kelvin, Elizabeth A., Eva Mwai, Matthew L Romo, Gavin George, Kaymarlin Govender, Joanne E. Mantell, Michael Strauss, Eston N. Nyaga, and Jacob O. Odhiambo. Evaluating oral HIV self-testing to increase HIV testing uptake among truck drivers in Kenya. International Initiative for Impact Evaluation, July 2017. http://dx.doi.org/10.23846/tw2206.

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A Kelvin, Elizabeth, Eva Mwai, Matthew L Romo, Gavin George, Kaymarlin Govender, Joanne E Mantell, Michael Strauss, Eston N Nyaga, and Jacob O Odhiambo. Evaluating oral HIV self-testing to increase HIV testing uptake among truck drivers in Kenya. International Initiative for Impact Evaluation (3ie), July 2017. http://dx.doi.org/10.23846/tw2206cuny.

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Al-Qadi, Imad, Egemen Okte, Aravind Ramakrishnan, Qingwen Zhou, and Watheq Sayeh. Truck Platooning on Flexible Pavements in Illinois. Illinois Center for Transportation, May 2021. http://dx.doi.org/10.36501/0197-9191/21-010.

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Truck platoons have many benefits over traditional truck mobility. Truck platoons have the potential to improve safety and reduce fuel consumption between 5% and 15%, based on platoon configuration. In Illinois, trucks carry more than 50% of freight tonnage and constitute 25% of the traffic on interstates. Therefore, expected fuel savings would be significant for trucks. Deployment of truck platoons within interstate highways may have a direct effect on flexible pavement performance, as the time between consecutive axle loads (i.e., resting time) is expected to decrease significantly. Moreover, platoons could potentially accelerate pavement damage accumulation due to trucks’ channelized position, decreasing pavement service life and increasing maintenance and rehabilitation costs. The main objective of this project was to quantify the effects of truck platoons on pavements and to provide guidelines to control corresponding potential pavement damage. Finite-element models were utilized to quantify the impact of rest period on pavement damage. Recovered and accumulated strains were predicted by fitting exponential functions to the calculated strain profiles. The results suggested that strain accumulation was negligible at a truck spacing greater that 10 ft. A new methodology to control pavement damage due to truck platoons was introduced. The method optimizes trucks’ lateral positions on the pavements, and an increase in pavement service life could be achieved if all platoons follow this optimization method. Life cycle assessment and life cycle cost analysis were conducted for fully autonomous, human-driven, and mixed-traffic regimes. For example, for an analysis period of 45 years, channelized truck platoons could save life cycle costs and environmental impacts by 28% and 21% compared with human-driven trucks, respectively. Furthermore, optimum truck platoon configuration could reduce life cycle costs and environmental impacts by 48% and 36%, respectively, compared with human-driven trucks. In contrast, channelized traffic could increase pavement roughness, increasing fuel consumption by 15%, even though platooning vehicles still benefit from reduction in air drag forces. Given that truck platoons are expected to be connected only in the first phase, no actions are required by the agency. However, in the second phase when truck platoons are also expected to be autonomous, a protocol for driving trends should be established per the recommendation of this study.
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Meidani, Hadi, and Amir Kazemi. Data-Driven Computational Fluid Dynamics Model for Predicting Drag Forces on Truck Platoons. Illinois Center for Transportation, November 2021. http://dx.doi.org/10.36501/0197-9191/21-036.

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Fuel-consumption reduction in the truck industry is significantly beneficial to both energy economy and the environment. Although estimation of drag forces is required to quantify fuel consumption of trucks, computational fluid dynamics (CFD) to meet this need is expensive. Data-driven surrogate models are developed to mitigate this concern and are promising for capturing the dynamics of large systems such as truck platoons. In this work, we aim to develop a surrogate-based fluid dynamics model that can be used to optimize the configuration of trucks in a robust way, considering various uncertainties such as random truck geometries, variable truck speed, random wind direction, and wind magnitude. Once trained, such a surrogate-based model can be readily employed for platoon-routing problems or the study of pavement performance.
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