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Journal articles on the topic 'Truck driving'

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1

Lee, Yongki, Taewon Ahn, Chanhwa Lee, Sangjun Kim, and Kihong Park. "A Novel Path Planning Algorithm for Truck Platooning Using V2V Communication." Sensors 20, no. 24 (December 8, 2020): 7022. http://dx.doi.org/10.3390/s20247022.

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In truck platooning, the leading vehicle is driven manually, and the following vehicles run by autonomous driving, with the short inter-vehicle distance between trucks. To successfully perform platooning in various situations, each truck must maintain dynamic stability, and furthermore, the whole system must maintain string stability. Due to the short front-view range, however, the following vehicles’ path planning capabilities become significantly impaired. In addition, in platooning with articulated cargo trucks, the off-tracking phenomenon occurring on a curved road makes it hard for the fo
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2

Sollins, Brandon, Dar-Wei Chen, Lauren Reinerman-Jones, and Ron Tarr. "Truck Driving Distractions." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 58, no. 1 (September 2014): 2171–75. http://dx.doi.org/10.1177/1541931214581456.

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3

Geng, Zhaoshi, Xiaofeng Ji, Rui Cao, Mengyuan Lu, and Wenwen Qin. "A Conflict Measures-Based Extreme Value Theory Approach to Predicting Truck Collisions and Identifying High-Risk Scenes on Two-Lane Rural Highways." Sustainability 14, no. 18 (September 7, 2022): 11212. http://dx.doi.org/10.3390/su141811212.

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Collision risk identification and prediction is an effective means to prevent truck accidents. However, most existing studies focus only on highways, not on two-lane rural highways. To predict truck collision probabilities and identify high-risk scenes on two-lane rural highways, this study first calculated time to collision and post-encroachment time using high-precision trajectory data and combined them with extreme value theory to predict the truck collision probability. Subsequently, a traffic feature parameter system was constructed with the driving behavior risk parameter. Furthermore, m
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Zuo, Yong Gang, Zhu Xin Li, Jun Chen, Jing Yang, and Zhen Zhang. "Study on Driving Safety of Refueling Truck." Advanced Materials Research 774-776 (September 2013): 433–37. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.433.

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In this paper,lateral slip, longitudinal slip, lateral overturning and longitudinal overturning of refueling truck are studied according to petroleum sloshing of refueling truck tank driving on road,the rules that driving safety of refueling truck changes with related parameters variation when Refueling Truck is been driven on ramp is analyzed, the unsafe factors causing driving instability is found.
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Abdelkareem, Mohamed AA, Mina MS Kaldas, Mohamed Kamal Ahmed Ali, and Lin Xu. "Analysis of the energy harvesting potential–based suspension for truck semi-trailer." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 11 (November 17, 2018): 2955–69. http://dx.doi.org/10.1177/0954407018812276.

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As the articulated trucks are mainly used for long distance transportations, the design of the suspension system became a major concern and a research hotspot not only for ride comfort and driving safety but also for energy consumption. Therefore, the objective of this study is to conduct a comprehensive parametrical–based conflict analysis between the ride comfort and road holding together with the potential power of the shock absorbers. The simulation analysis is performed using a 23 degree-of-freedom full truck semi-trailer mathematical model with random road surface model. The bounce and c
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Wang, Qun, Ruixin Zhang, Yangting Wang, and Shuaikang Lv. "Machine Learning-Based Driving Style Identification of Truck Drivers in Open-Pit Mines." Electronics 9, no. 1 (December 24, 2019): 19. http://dx.doi.org/10.3390/electronics9010019.

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The significance in constructing a driving style identification model for open-pit mine truck drivers is to reduce diesel consumption and improve training. First, we developed a driving behavior and mining truck condition monitoring system for an open-pit mine. Under heavy-load and no-load conditions of a mining truck, based on the same experimental truck and haulage road, the data of driving behavior and truck status of different drivers were collected. The driving style characteristic parameters of mining trucks under heavy-load and no-load conditions were constructed through Pearson correla
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7

Grinin, Valeriy, Evgeniy Shkarupelov, Aleksandr Muravev, Aleksandr Kartashov, Sergey Nazarenko, and Aleksandr Klimov. "Method for applying vehicle driving cycles to assess the durability of electromechanical transmissions of trucks." E3S Web of Conferences 402 (2023): 10008. http://dx.doi.org/10.1051/e3sconf/202340210008.

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The article discusses the relevance of the problem of calculating the elements of electromechanical transmissions of trucks for strength and durability. The main methods used for the formation of load conditions on electromechanical transmissions of trucks are given. The driving cycles of trucks used to obtain loads when calculating the durability of the elements of electromechanical transmissions are given. The universal driving cycles of vehicles obtained on the basis of the collection of statistical data on the movement of trucks are considered. A simulation model of the movement of a truck
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8

Kudo, Takahiko, and Michael H. Belzer. "Safe rates and unpaid labour: Non-driving pay and truck driver work hours." Economic and Labour Relations Review 30, no. 4 (October 15, 2019): 532–48. http://dx.doi.org/10.1177/1035304619880406.

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In the trucking industry, truck drivers’ duties include not only driving trucks but also non-driving labor. However, non-driving work is not necessarily paid. This article analyses how the payment for non-driving duties (non-driving pay) affects truck drivers’ work hours. Using the National Institute for Occupational Safety and Health Long-Haul Truck Driver survey, the study finds that remunerating drivers for non-driving duties decreases drivers’ work hours. Drivers who are paid for their non-driving labor may reach their target earnings in fewer work hours, leading them to refrain from worki
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9

Xin, Tian, Jinliang Xu, Chao Gao, and Zhenhua Sun. "Research on the speed thresholds of trucks in a sharp turn based on dynamic rollover risk levels." PLOS ONE 16, no. 8 (August 20, 2021): e0256301. http://dx.doi.org/10.1371/journal.pone.0256301.

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Truck rollover is a problem that seriously endangers the safety of human life. Under special conditions, when the driver takes a sharp turn, the truck is most prone to rollover. Speed seriously affects the driving stability of the truck in a sharp turn, but the calculation of the safe speed is not accurate enough at present. The aim of this paper is to develop a more accurate safe speed calculation method to avoid the truck rollover in a sharp turn. Firstly, the calculation formula of the rollover threshold was derived based on a theoretical model, then, the simulation tests were carried out.
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10

Akay, Abdullah E. "Determination of the Safest Route for Logging Trucks Based on Road Types and Conditions." Environmental Sciences Proceedings 3, no. 1 (November 13, 2020): 5. http://dx.doi.org/10.3390/iecf2020-08068.

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Hauling of wood-based forest products is a complex problem that requires evaluation of many alternative routes. Forest transportation has been generally done by using logging trucks with high carrying capacity. Logging truck driving is one of the dangerous occupations in forestry, particularly in Turkey, where forest lands are mostly located in mountainous regions with steep slopes. The safety risk of truck driving mainly depends on the road standards and conditions. The majority of the forest roads in Turkey have low standards that limit the maneuverability of logging trucks. In such conditio
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11

Simon, David, and Mehdi Ahmadian. "Vehicle Evaluation of the Performance of Magneto Rheological Dampers for Heavy Truck Suspensions." Journal of Vibration and Acoustics 123, no. 3 (February 1, 2001): 365–75. http://dx.doi.org/10.1115/1.1376721.

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This study is intended to complement many existing analytical studies in the area of semiactive suspensions by providing a field evaluation of semiactive magneto rheological (MR) primary suspensions for heavy trucks. A set of four controllable MR dampers are fabricated and used experimentally to test the effectiveness of a semiactive skyhook suspension on a heavy truck. In order to evaluate the performance of the semiactive suspensions, the performance of the truck equipped with the MR dampers is primarily compared with the performance of the truck equipped with the stock passive dampers. The
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12

Gittleman, Maury, and Kristen Monaco. "Truck-Driving Jobs: Are They Headed for Rapid Elimination?" ILR Review 73, no. 1 (June 17, 2019): 3–24. http://dx.doi.org/10.1177/0019793919858079.

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The authors analyze the potential effects of automation on the jobs of truck drivers and conclude that media accounts predicting the imminent loss of millions of truck-driving jobs are overstated. Their conclusion is based on three main factors. First, the count of truck drivers is often inflated due to a misunderstanding of the occupational classification system used in federal statistics. Second, truck drivers do more than drive, and these non-driving tasks will continue to be in demand. Third, the requirements of technology, combined with complex regulations over how trucks can operate in t
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13

Shephard, Roy J. "Cardiovascular Risk and Truck Driving." Journal of Cardiopulmonary Rehabilitation 6, no. 7 (July 1986): 260–62. http://dx.doi.org/10.1097/00008483-198607210-00003.

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14

&NA;. "Grave Digging and Truck Driving." Back Letter 5, no. 11 (1991): 4. http://dx.doi.org/10.1097/00130561-199105110-00005.

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15

Srisomboon, Issaree, and Sanghwan Lee. "Efficient Position Change Algorithms for Prolonging Driving Range of a Truck Platoon." Applied Sciences 11, no. 22 (November 9, 2021): 10516. http://dx.doi.org/10.3390/app112210516.

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Cooperative automated driving technology has emerged as a potential way to increase the efficiency of transportation systems and enhance traffic safety by allowing vehicles to exchange relevant information via wireless communication. Truck platooning utilizes this technology and achieves synchronized braking and acceleration, controlling two or more trucks simultaneously. This synchronized control makes driving with a very short inter-vehicle distance among trucks possible and reduces aerodynamic drag. This provides significant fuel consumption reduction, both in leading and trailing trucks, a
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16

Sinthuja, S., and S. V. Saravanan. "Vehicle-2-Vehicle Communication Based on Wireless Sensor Network." Bulletin of Electrical Engineering and Informatics 6, no. 4 (December 1, 2017): 364–66. http://dx.doi.org/10.11591/eei.v6i4.868.

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Truck Platooning is a car innovation that permits gathering various trucks into a single element where one truck intently takes after the other that outcomes in an expanded street limit. This kind of detachment allows to a significant degree tight separations and synchronous driving between the vehicles. Our point is to plan and exhibit a self-ruling truck platooning framework given vehicle-to-vehicle (V2V) correspondence innovation. The structure utilises IEEE 802.15.4 remote convention joined with separation going sensors to enable vehicles inside the company to safely trade data progressive
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17

Li, Zhenming, Siu Shing Man, Alan Hoi Shou Chan, and Jianfang Zhu. "Integration of Theory of Planned Behavior, Sensation Seeking, and Risk Perception to Explain the Risky Driving Behavior of Truck Drivers." Sustainability 13, no. 9 (May 7, 2021): 5214. http://dx.doi.org/10.3390/su13095214.

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Truck-related accidents account for a substantial portion of traffic accidents. Risky driving behavior is a main cause of traffic accidents. Understanding the risky driving behavior of truck drivers is therefore important in reducing truck-related accidents. This study aimed to propose and validate a research model that integrated a theory of planned behavior, sensation seeking, and risk perception to explain the risky driving behavior of truck drivers. A total of 471 valid data were collected from Chinese truck drivers in this study. Structural equation modeling and mediation analysis were us
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18

Engholm, Albin, Anna Pernestål, and Ida Kristoffersson. "Cost Analysis of Driverless Truck Operations." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 9 (July 28, 2020): 511–24. http://dx.doi.org/10.1177/0361198120930228.

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Road freight transport is believed by many to be the first transport domain in which driverless (DL) vehicles will have a significant impact. However, in current literature almost no attention has been given to how the diffusion of DL trucks might occur and how it might affect the transport system. To make predictions on the market uptake and to model impacts of DL truck deployment, valid cost estimates of DL truck operations are crucial. In this paper, an analysis of costs and cost structures for DL truck operations, including indicative numerical cost estimates, is presented. The total cost
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19

Vinogradov, A. B., A. A. Korotkov, and K. K. Ermakov. "Dump truck control algorithms when wheels slip." Vestnik IGEU, no. 5 (October 31, 2023): 68–73. http://dx.doi.org/10.17588/2072-2672.2023.5.068-073.

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Mine dump trucks with a carrying capacity of 90 tons or more are equipped with an electromechanical transmission that controls the traction motors of the driving wheels. Due to unfavorable operation conditions of dump trucks, there are strict requirements to the driving safety along unpaved roads of open pits. The results of BELAZ dump trucks tests and authors maintenance experience have shown that the active security system is especially needed and gives essential assistance to a driver. Loss of control of а loaded truck, for example, during sharp braking on a slippery icy road, can lead to а
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20

Mareev, Ivan, and Dirk Sauer. "Energy Consumption and Life Cycle Costs of Overhead Catenary Heavy-Duty Trucks for Long-Haul Transportation." Energies 11, no. 12 (December 9, 2018): 3446. http://dx.doi.org/10.3390/en11123446.

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The overhead catenary truck is an interesting technology for long-haul transportation with heavy-duty trucks because it can combine the advantage of energy supply via catenary while driving and the flexibility of a battery truck on routes without catenary using the traction battery. This study investigates the energy consumptions of overhead catenary trucks on German highways and considers different configurations for the traction battery and catenary power system. Afterwards the life cycle costs of overhead catenary trucks are calculated for a specified long-haul transportation scenario and t
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21

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
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22

Haq, Muhammad Tahmidul, Milan Zlatkovic, and Khaled Ksaibati. "Freeway Truck Traffic Safety in Wyoming: Crash Characteristics and Prediction Models." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 10 (May 18, 2019): 333–42. http://dx.doi.org/10.1177/0361198119847980.

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The State of Wyoming experiences a high percentage of truck traffic along all its highways, especially Interstate 80 (I-80). The increased interactions between trucks and other vehicles have raised many operational and safety concerns. This paper presents a safety analysis and a development of safety performance functions (SPFs) along I-80, with a focus on truck crashes. Nine years of historical crash data in Wyoming (2008–2016) were used to observe the involvement of light, medium, and heavy trucks in crashes. Analysis of the major contributory factors showed that 54% of the total truck-relat
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23

Offord, Adam. "Driving Forward." Manufacturing Management 2018, no. 6 (June 2018): 34–36. http://dx.doi.org/10.12968/s2514-9768(23)90174-2.

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24

Lu, Xiao-Yun, Steven Shladover, and Stefan Bergquist. "Truck CACC Implementation and Test to Verify Control Performance." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 8 (April 25, 2019): 353–64. http://dx.doi.org/10.1177/0361198119842122.

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This paper presents quantitative driving performance results for a cooperative adaptive cruise control (CACC) system tested on Class-8 trucks. It focuses on the vehicle following control performance measured on a closed test track and in mixed traffic on public freeways. The speed and distance tracking errors are reported for the string of three trucks driven under CACC control.
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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 beh
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Li, Li Shun, Xiang De Meng, and Juan Qing Zhan. "Design and Traction Performance of the Track Device Circling Driving Wheel for Truck." Applied Mechanics and Materials 110-116 (October 2011): 239–43. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.239.

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To improve passing topography capacity of 2WD truck on soft soil, A track device circling driving wheel (TDCDW) is developed and tested. Tests are conducted on sandy loam to determine the traction performance of the TDCDW. The drawbar pull and the slip of the 2WD truck with TDCDW are measured by the dynamometer vehicle. The soil resistance of 2WD truck with TDCDW is got by pulling the wire rope fixed on truck with the winch and reading the load cell fixed on the wire rope. The main results of this study are: The load on the front wheel has no influences on the tractive effort of TDCDW on sandy
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27

Grinin, Valeriy, Evgeniy Shkarupelov, Aleksander Kartashov, Ruslan Gazizullin, and Sergey Nazarenko. "Determination of the number of speeds of a mechatronic transmission of a road car based on a typical specified driving mode." E3S Web of Conferences 460 (2023): 06021. http://dx.doi.org/10.1051/e3sconf/202346006021.

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The article discusses the problem of determining the rational number of gears for a mechatronic transmission of a truck vehicle. A review of the designs of existing mechatronic transmissions from leading manufacturers of motor vehicles was carried out, with an emphasis on analyzing the number of gears used in them. A method has been developed for determining the rational number of gears based on simulation modeling of the movement of a truck along driving cycles, synthesized on the basis of statistical data on the movement of trucks across the territory of the Russian Federation. A synthesized
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28

Sari, Sulasmi, Endang Maryanti, and Haslinah Haslinah. "Safety Driving Factors on Palm Oil Transporting Trucks." Jurnal Perilaku Kesehatan Terpadu 1, no. 1 (July 20, 2022): 15–21. http://dx.doi.org/10.61963/jpkt.v1i1.8.

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As many as 67% of accident victims in 2011 were between the ages of 22 and 50, according to WHO data. There were around 400 thousand victims under the age of 25, with a death toll of 1000 children and teenagers every day on average throughout this time period. PT. Tapian Nadenggan Langga Payung was the focus of this study, which sought to identify the elements that contributed to the safety of oil palm transport trucks. Analytical research with a cross-sectional approach was the research design employed. There are 35 people in total, all of whom work as oil palm fruit truck drivers. In this ca
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Chen, Yutao, Nazar Rozkvas, and Mircea Lazar. "Driving Mode Optimization for Hybrid Trucks Using Road and Traffic Preview Data." Energies 13, no. 20 (October 14, 2020): 5341. http://dx.doi.org/10.3390/en13205341.

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This paper proposes a predictive driver coaching (PDC) system for fuel economy driving for hybrid electric trucks using upcoming static map and dynamic traffic data. Unlike traditional methods that optimize over engine torque and brake to obtain a speed profile, we propose to optimize over driving modes of trucks to achieve a trade-off between fuel consumption and trip time. The optimal driving mode is provided to the driver as a coaching recommendation. To obtain the optimal solution, the truck dynamics are firstly modeled as a hybrid controlled switching dynamical system with autonomous subs
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30

Wang, Chang Yuan, Kong Jian Qin, Jun Hua Gao, Jia Yan, and Xue Hao Liu. "Research on the Construction and Testing of Typical Driving Cycles for Refuse Truck." Advanced Materials Research 718-720 (July 2013): 2457–62. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2457.

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In this paper, the driving trajectories of refuse transfer truck and collector truck are tested by GPS data logger. Afterwards, the 15 characteristic values of refuse truck and 12 characteristic values of typical driving cycles are analyzed by velocity fragment characteristic value analysis. Finally, we find that if the highway cycle of C-WTVC is canceled and the ratio of velocity interval 20-60km/h is extended, this driving cycle can be used as the testing cycle of refuse transfer truck. The CCBC cycle can be used as the testing cycle of refuse collector truck.
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31

Kozioł, Stanisław. "Truck Driving Parameters - A Comparative Study." Solid State Phenomena 237 (August 2015): 142–47. http://dx.doi.org/10.4028/www.scientific.net/ssp.237.142.

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Rescue and fire-fighting vehicles and other vehicles used by the fire department, such as tankers and aerial ladder trucks have typically a high centre of gravity. Driving such vehicles involves the danger of transverse stability loss and rolling over. This problem is augmented by inadequate driver experience due to the low mileage of emergency vehicles. The safety of a moving vehicle largely depends on its driving characteristics, which can be studied and compared, and these in turn can be the basis for the evaluation of the vehicle safety with a specific body design.The aim of the study was
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32

Terenchenko, A. S., and A. S. Stryapunin. "Estimation of CO emissions from 2 KAMAZ-54901 truck with the use of Regulation (EU) 2017/2400 methodology." Trudy NAMI, no. 4 (December 28, 2023): 61–68. http://dx.doi.org/10.51187/0135-3152-2023-4-61-68.

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Introduction (problem statement and relevance). For several years already, the world’s leading countries are managing programs aimed at decreasing СО2 emissions from trucks. These programs imply actual (field) testing of components and simulating of vehicle driving according to the test cycles in the special software (SW). In Europe, Regulation (EU) 2017/2400 requires that manufacturers produce and open source such calculations when registering new trucks (heavy-duty vehicles) in the EU territory. The purpose of the study is to compare the CO2 emission level from trucks made by the European ma
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33

Hutchinson, Harry. "Going the Distance." Mechanical Engineering 127, no. 07 (July 1, 2005): 37. http://dx.doi.org/10.1115/1.2005-jul-4.

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This article discusses a Turkish auto manufacturer that had been marketing its heavy commercial vehicle for years, but new emissions requirements were looming. The rules came from the European Parliament in Brussels. Turkey, which is not part of the European Union, has been pursuing membership for decades and many nearby countries belong, so the rules could not be ignored. The company decided to redesign its truck. The testing company, LMS International, crunched numbers and devised a schedule of track driving that would accelerate fatigue-inducing events a hundredfold. LMS engineers began by
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Llaneras, Robert E., Robert W. Swezey, and John F. Brock. "Older Commercial Vehicle Drivers: Abilities, Age, and Driving Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 18 (October 1996): 933–37. http://dx.doi.org/10.1177/154193129604001815.

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This research reports upon a series of related studies which involved investigations of fifteen human abilities, their changes which occur with aging, and their effects upon commercial truck driving performance. One-hundred and seven commercially licensed truck drivers, divided into five age cohort groups, participated in the research study. An ability testbed was used to measure 15 driving related perceptual, cognitive, and psychomotor abilities. Driving performance was assessed using an interactive commercial truck driving simulator. Relationships between perceptual, cognitive, and psychomot
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Kircher, Katja, Christer Ahlström, Jonas Ihlström, Tatu Ljokkoi, and John Culshaw. "Effects of training on truck drivers’ interaction with cyclists in a right turn." Cognition, Technology & Work 22, no. 4 (March 17, 2020): 745–57. http://dx.doi.org/10.1007/s10111-020-00628-x.

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Abstract With encounters between trucks and cyclists still being a major safety issue and physical as well as technological improvements far from ubiquitous implementation, training truck drivers in anticipatory driving to improve their interaction with cyclists may be a way forward. After a baseline drive in an urban environment, truck drivers inexperienced with urban driving received a dedicated training on anticipatory driving, followed by another drive along the same route several weeks later. The drivers were also interviewed about their opinion about the training. The drivers’ behaviour
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Chen, Chen, and Yuanchang Xie. "Machine Learning for Recognizing Driving Patterns of Drivers of Large Commercial Trucks." Transportation Research Record: Journal of the Transportation Research Board 2517, no. 1 (January 2015): 18–27. http://dx.doi.org/10.3141/2517-03.

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Commercial large truck crashes are more likely to involve fatalities and significant costs than passenger vehicle crashes are. To reduce fatigue-related crashes of large trucks caused by drivers' irregular work schedules, FMCSA has enforced hours-of-service rules to regulate the activities of drivers of commercial large trucks. The complex influence of drivers' multiday driving activity patterns on crash risk was examined with data collected from two national truckload carriers. A machine learning approach, k-means clustering, was used to classify large truck drivers into 10 clusters according
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37

Hu, Xing Jun, Peng Qin, Peng Guo, and Jing Yu Wang. "Influence of Front Shape on Crosswind Aerodynamic Loads of Heavy-Duty Truck: A Numerical Case Study." Advanced Materials Research 569 (September 2012): 428–32. http://dx.doi.org/10.4028/www.scientific.net/amr.569.428.

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Research was done on the crosswind aerodynamic loads of three different front shape heavy-duty trucks by the method of numerical simulation. According to the research, the side force and the rolling moment of truck change slightly, but the drag and yawing moment changes dramatically when running in strong crosswind with different front shapes. The conclusions were drawn from discussion that the long head heavy-duty truck has the least yawing moment among the studied trucks so it has the best driving stability correspondingly.
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38

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-tru
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Zhu, Yi, Yongfeng Ma, Shuyan Chen, Aemal J. Khattak, and Qianqian Pang. "Identifying Potentially Risky Intersections for Heavy-Duty Truck Drivers Based on Individual Driving Styles." Applied Sciences 12, no. 9 (May 6, 2022): 4678. http://dx.doi.org/10.3390/app12094678.

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In developing countries, heavy-duty trucks play an important role in transportation for infrastructure construction. However, frequent truck accidents cause great losses. Previous studies have mainly focused on passenger drivers; to date, little has been done to assess the driving behavior of heavy truck drivers. The overall objective of this study is to classify driving styles at intersections, analyze the impacts of differing types of traffic control at intersections on driving styles, and identify potentially risky intersections. We selected 11 heavy-duty truck drivers and collected kinemat
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Wahyudi, Deni, and Wiwik Eko Pertiwi. "Sikap Pengemudi Dump Truck Terhadap Safety Driving." MEDIA KESEHATAN MASYARAKAT INDONESIA 20, no. 2 (March 23, 2021): 134–38. http://dx.doi.org/10.14710/mkmi.20.2.134-138.

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Latar belakang: Berdasarkan data Laka Lantas Polda Banten pada tahun 2018 terjadi 1.263 kasus kecelakaan dengan juo mlah korban meninggal 605 orang, luka berat 160, luka ringan 1.398 orang dengan kerugian materi mencapai Rp 3,3 miliar lebih dan pada tahun 2019 laka lantas bertambah dengan jumlah 1.402 kejadian, dengan jumlah korban meninggal dunia sebanyak 649 orang, luka berat 139 orang, luka ringan 1.629 orang dengan jumlah kerugian mencapai Rp 2,8 miliar. Safety driving merupakan upaya untuk mengemudi lebih lanjut yang lebih memperhatikan keselamatan bagi pengemudi dan penumpang. Penelitian
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Yeh, Wei-Chang, Chia-Ling Huang, and Haw-Sheng Wu. "An Improved d-MP Algorithm for Reliability of Logistics Delivery Considering Speed Limit of Different Roads." Signals 3, no. 4 (December 13, 2022): 895–910. http://dx.doi.org/10.3390/signals3040053.

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The construction of intelligent logistics by intelligent wireless sensing is a modern trend. Hence, this study uses the multistate flow network (MFN) to explore the actual environment of logistics delivery and to consider the different types of transportation routes available for logistics trucks in today’s practical environment, which have been neglected in previous studies. Two road types, namely highways and slow roads, with different speed limits are explored. The speed of the truck is fast on the highway, so the completion time of the single delivery is, of course, fast. However, it is al
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John, Vickry Abdillah, Masribut Masribut, and Ahmad Satria Efendi. "Analisis Pelaksanaan Kepatuhan Terhadap Safety Driving Pada Pengemudi Foco Truck Dan Bucket Truck Di Pt. Pancaran Darat Transport Duri." Media Kesmas (Public Health Media) 1, no. 2 (December 12, 2021): 491–98. http://dx.doi.org/10.25311/kesmas.vol1.iss2.51.

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Safety driving adalah perilaku mengemudi yang aman yang bisa untuk membantu menghindari masalah lalu lintas yang merupakan dasar pelatihan mengemudi lebih lanjut yang lebih memperhatikan keselamatan pengemudi. Untuk mencegah terjadinya pelanggaran yang dapat menyebabkan kecelakaan pada pengemudi maka pihak perusahaan menerapkan aturan safety driving.Upaya untuk meningkatkan keselamatan tentunya bukan hanya tanggung jawab pemerintah saja melainkan tanggung jawab kita bersama. Tujuan penelitian ini untuk mengetahui pelaksanaan kepatuhan terhadap safety driving pada pengemudi foco truck dan bucke
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Taiwo, Olusegun Austine, Sitti Asmah Hassan, Rahmat Mohsin, and Norashikin Mahmud. "Truck drivers’ behaviour on road traffic crash involvement: A structural equation modeling approach." Journal of Autonomous Intelligence 7, no. 5 (May 20, 2024): 1549. http://dx.doi.org/10.32629/jai.v7i5.1549.

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<p>Truck drivers significantly enhance global economic development due to the varying and bulk freight transport from one end to another. However, their involvement in road traffic crashes usually results in significant losses of lives and properties. There are sparse studies on the influence of driving behaviours of truck drivers on road traffic crashes, especially in developing countries like Nigeria. A total of 880 commercial truck drivers participated and completed the driver behaviour questionnaire. The structural equation modeling approach was used in the analysis to examine the in
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Hong, Cheng, Yufang Guo, Yuhong Wang, and Tingting Li. "The Integrated Scheduling Optimization for Container Handling by Using Driverless Electric Truck in Automated Container Terminal." Sustainability 15, no. 6 (March 21, 2023): 5536. http://dx.doi.org/10.3390/su15065536.

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With the increasing maturity of automatic driving technology, the commercial value of driverless container trucks has been gradually excavated. Compared with social roads, the internal roads in the port area have certain practicing advantages. By taking into account the operational characteristics of the driverless electric container truck and the coordination of quay and yard cranes, this paper aims to explore the configuration and optimized scheduling model of the driverless electric container truck with the objective of minimizing overall energy consumption. The results show that the optimi
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Council, Forrest M., David L. Harkey, Daniel T. Nabors, Asad J. Khattak, and Yusuf M. Mohamedshah. "Examination of Fault, Unsafe Driving Acts, and Total Harm in Car-Truck Collisions." Transportation Research Record: Journal of the Transportation Research Board 1830, no. 1 (January 2003): 63–71. http://dx.doi.org/10.3141/1830-09.

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Crashes involving large trucks and passenger cars are important topics for research and countermeasure development since they represent more than 60% of all fatal truck crashes and because the passenger car occupant is much more likely to be killed. This study ( a) examined “fault” in total car–truck crashes using North Carolina Highway Safety Information System (HSIS) data for comparison with fault analyzed in previous studies of fatal crashes, ( b) used general estimates system (GES) crash data to verify unsafe driving acts (UDAs) identified by expert panels in past studies, and ( c) used No
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Hirsch, Pierro, Mohamed-Amine Choukou, and François Bellavance. "Transfer of Training in Basic Control Skills from Truck Simulator to Real Truck." Transportation Research Record: Journal of the Transportation Research Board 2637, no. 1 (January 2017): 67–73. http://dx.doi.org/10.3141/2637-08.

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A series of studies was done at a large truck driver-training center as part of its ongoing cycle of development and implementation of simulator-based training. This project was motivated by the need to accelerate the learning of basic vehicle control skills to allow more time for safety-critical skills. The first studies focused on gearshifting and the second on backing maneuvers. All studies measured the transfer of driving skills learned in the truck simulator to the real truck. The results show that basic vehicle control skills learned on the truck simulator transferred to a real truck and
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Zhang, Zhao, Ruixin Zhang, and Jiandong Sun. "Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine." Applied Sciences 13, no. 20 (October 23, 2023): 11597. http://dx.doi.org/10.3390/app132011597.

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Trucking is an important production link in most open-pit mines, and its transportation cost accounts for more than 50% of the total production cost of open-pit mines. The quality of the driver’s driving behavior plays a crucial role in the fine control of the production cost of transportation. Different from the previous evaluation studies of drivers’ driving behavior in open-pit mines, which mainly took safety driving behavior index as a factor variable, this paper puts forward a comprehensive evaluation method of driving behavior of mining truck drivers, which takes both safety driving and
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Khaengkarn, Sorada, Kampon Nonkeaw, Thanasak Wonglomklang, and Jiraphon Srisertpol. "Real-Time Tracking and Environmental Monitoring System for Ice Trucks using IoT Techniques." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 19 (December 12, 2022): 297–302. http://dx.doi.org/10.37394/23209.2022.19.31.

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The problems faced by ice transporting entrepreneurs are the behavior of truck drivers in driving off the specified route and unnecessarily opening the freezing container door. Consequently, the dropping temperature inside the container of the ice truck damaged the frozen food transportation. For this reason, rotten frozen food because of transportation ruins the customer’s trust. This research aims to present the design of location tracking, opening-closing container door counting system, and temperature monitoring system for ice trucks using Internet of Things (IoT) techniques. The real-time
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Billah, Khondoker, Hatim O. Sharif, and Samer Dessouky. "Statistical and Spatial Analysis of Large Truck Crashes in Texas (2017–2021)." Sustainability 16, no. 7 (March 27, 2024): 2780. http://dx.doi.org/10.3390/su16072780.

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Freight transportation, dominated by trucks, is an integral part of trade and production in the USA. Given the prevalence of large truck crashes, a comprehensive investigation is imperative to ascertain the underlying causes. This study analyzed 2017–2021 Texas crash data to identify factors impacting large truck crash rates and injury severity and to locate high-risk zones for severe incidents. Logistic regression models and bivariate analysis were utilized to assess the impacts of various crash-related variables individually and collectively. Heat maps and hotspot analysis were employed to p
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Kim, Kyung-Jin. "Differences in Perceptions Regarding the Causes of Accidents in Logistics Vehicles: Freight vs. Passenger Cars." Korean Logistics Research Association 34, no. 1 (February 28, 2024): 57–70. http://dx.doi.org/10.17825/klr.2024.34.1.57.

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What factors do truck drivers consider as the primary causes of accidents? Study 1 investigated whether there were differences in risk perception among drivers of freight and passenger cars regarding various accident causes. Truck drivers perceived lower accident risks due to external factors during longer distances compared to shorter distances. Conversely, passenger car drivers felt lower risks at closer distances than at longer ones. This discrepancy can be attributed to variations in risk perception for the same accident factor, influenced by psychological fluency and the fit of regulatory
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