Effect of Driver Behavior Effect of Driver Behavior on the Coal Truck Trips Movement on Coal Haul Roadson the Coal Truck Trips Movement on Coal Haul Roads
DOI:
https://doi.org/10.61841/z7vtf426Keywords:
Impact, Drivers Behavior, Travel Timeliness, Truck, Coal RoadsAbstract
The pattern of coal hauling travel is highly dependent on driver behaviour. Drivers who have experiences and skills in driving big trucks on coal haul roads make them more comfortable during the trip. Good work motivation will reduce the driver habits wasting time traveling in certain places. The use of the right time will affect driver behavior, including rest, sleep, normal work and social contact. The research to analyze effect of driver behavior on truck trips movement and use of travel time on coal haul roads. The research methods are field study, observations, and questionnaires with analytical statistics. The results indicates that coal truck driver behavior very influenced by work-motivation, road and vehicle conditions. This directly affects the pattern of truck trips movement from the stockpile to the port. The stopping duration at certain places such as stalls, roadside and workshops causes the travel time duration to increase, thereby reducing timeliness. The good vehicle condition adds to the truck drivers work motivation. Damaged road conditions and excess loads increase alertness, are not comfortable, thereby reducing travel speed. Transportation companies and coal haul drivers must maintain the safety, smooth distribution of goods and periodic maintenance of vehicles to stay excellent.
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References
[1] Carrion C, Levinson D. 2012. Value of Travel Time Reliability. A Review of Current Evidence.
Transportation Research Part A 46. pp.720–741
[2] Chen C, Skabardonis A, Varaiya P. 2012. Travel Time Reliability as a Measure of Service. Procedia-Social and Behavioral Sciences/15th meeting of the EURO Working Group on Transportation. Elsevier. pp. 696- 705.
[3] Yuniar D, WicaksonoA, Djakfar L, Efendi, A. 2019. Effects of Coal Freight Road Policy Reforms on
Transportation and Environmental Economics. IOP Conf. Ser.: Earth Environ. Sci. 328 012037.
[4] Davidovic J, Pešic D, Antic B. 2018 Professional drivers’ fatigue as a problem of the modern era.
Transportation Research Part F 55. pp.199–209.
[5] Dinges D. 2005. An Overview of Sleepiness and Accident. Journal of Sleep Research. University of
Applied Sciences. Schmalkalden Germany 4 (20): 4-14.
[6] Eboli L, Guido G, Mazzula G, Pungillo G, Pungillo R. 2017 Investigating Car Users’ Driving Behaviour
through Speed Analysis. Pomet-Traffic & Transportation 29(2): 193-202.
[7] Eboli L, Mazzulla G, Pungillo G. 2016 Combining speed and acceleration to define car users’ safe orunsafe
driving behaviour. Transportation Research Part C 68. Elsevier. pp. 113-125.
[8] Fosgerau, M., Engelson, L., 2011. The value of travel time variance. Transportation Research Part B 45
(1), 1–8.
[9] Fosgerau, M., Karlström, M., 2010. The value of reliability. Transportation Research Part B 44 (1), 38–49.
[10] Galkin A, Davidich N, Melenchuk T, Kush Y, Davidich Y, Lobashov O. 2018. Modelling Truck's
Transportation Speed on the Route Considering Driver’s state. Transportation Research Procedia 30:
207–215.
[11] Iselanda T, Johansson E, Skoogc S, Daderman A M. 2018. An exploratory study of long-haul truck drivers’
secondary tasks and reasons for performing them. Accident Analysis and Prevention 117: 154–163.
[12] Kirti M, Nagendra R, Velaga, Akhilesh K, Choudhary A, Choudhary P. 2019. Effects of driver work-rest
patterns, lifestyle and payment incentives on long-haul truck driver sleepiness. Transportation Research
Part F 60:366–382.
[13] Meng F, Li S, Cao L, Li M, Peng Q, Wang C, Zhang W. 2015. Driving fatigue in professional drivers: a
survey of truck and taxi drivers. Traffic injury prevention, 16(5):474-483.
[14] Moghaddam Z R, Jeihani M. 2017. The Effect of Travel Time Information, Reliability, and Level of
Service on Driver Behavior Using a Driving Simulator. The 8th International Conference on Ambient
Systems, Networks and Technologie. Procedia Computer Science 109C:34–41
[15] Prasolenko О, Lobashov O, Galkin A. 2015. The Human Factor in Road Traffic City. International Journal
of Automation, Control and Intelligent Systems, 1 (3):77-84.
[16] Recker W, Chung Y, Taman J, Wang L, Chen A, Ji Z, Liu H, Horrocks M & Oh J S. 2005. Considering
Taking Risk Behavior in Travel Time Reliability. Institute of Transportation Studies. The University of
California.
[17] Saaty T L. 1990. How to make a decision: The Analytic Hierarchy Process. European Journal of
Operational Research, 48: 9-26.
[18] Uchida K. 2014. Estimating the value of travel time and of travel time reliability in road networks.
Transportation Research Part B 66: pp. 129–147
[19] World Bank. 2016. Trade Logistic in The Global Economy. Connecting To Complete. The Logistic
Performance Index and The Indicators. World Bank.
[20] Zicat E, Bennett J M, Chekaluk E, Batchelor J. 2018. Cognitive function and young drivers: The
relationship between driving, attitudes, personality, and cognition. Transportation Research Part F 55. Elsevier. pp.341–352.
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