Truck Driver Behavior and Travel Time Effectiveness Using Smart GPS
Vol. 6 No. 4 (2020): April
Research Articles
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The pattern of coal transportation is very dependent on the behaviour of the driver, which influences the effectiveness of travel time. Good driver behaviour will affect the optimization of travel time, and scenarios need to reduce travel time wastage. This study aims to optimize travel time and sensitivity analysis based on the influence of driver behaviour, truck travel movements and the use of travel time on coal haul roads. The research method uses a field survey with a GPS tracker, a smart GPS server 3.3, google earth and statistics. The results showed that the driver's behaviour greatly influenced the pattern of use of travel time and truck travel speed. Coal transportation in the morning can be more optimal than night so that that travel time wastage can reduced by 40%. The proposed optimization scenarios can save 36.7% - 48.61% of the existing travel time and the transport cycle can be increased to four to five times. So that with the addition of the cycle, it will increase the income of the transport company and the driver's income. With smart GPS, companies can improve the performance of transportation services in company management, get coal supplies on time.
Yuniar, D., Djakfar, L., Wicaksono, A., & Efendi, A. (2020). Truck Driver Behavior and Travel Time Effectiveness Using Smart GPS. Civil Engineering Journal, 6(4), 724–732. https://doi.org/10.28991/cej-2020-03091504
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[6] Zicat, Emma, Joanne M. Bennett, Eugene Chekaluk, and Jennifer Batchelor. "Cognitive Function and Young Drivers: The Relationship between Driving, Attitudes, Personality and Cognition.” Transportation Research Part F: Traffic Psychology and Behaviour 55 (May 2018): 341–352. doi:10.1016/j.trf.2018.03.013.
[7] Mahajan, Kirti, Nagendra R. Velaga, Akhilesh Kumar, Alok Choudhary, and Pushpa Choudhary. "Effects of Driver Work-Rest Patterns, Lifestyle and Payment Incentives on Long-Haul Truck Driver Sleepiness.” Transportation Research Part F: Traffic Psychology and Behaviour 60 (January 2019): 366–382. doi:10.1016/j.trf.2018.10.028.
[8] Meng, Fanyu, S.C. Wong, Wei Yan, Y.C. Li, and Linchuan Yang. "Temporal Patterns of Driving Fatigue and Driving Performance among Male Taxi Drivers in Hong Kong: A Driving Simulator Approach.” Accident Analysis & Prevention 125 (April 2019): 7–13. doi:10.1016/j.aap.2019.01.020.
[9] Tay, Richard, Philip Champness, and Barry Watson. "Personality and Speeding.” IATSS Research 27, no. 1 (2003): 68–74. doi:10.1016/s0386-1112(14)60060-1.
[10] Liu, Bor-Shong. "Association of Intersection Approach Speed with Driver Characteristics, Vehicle Type and Traffic Conditions Comparing Urban and Suburban Areas.” Accident Analysis & Prevention 39, no. 2 (March 2007): 216–223. doi:10.1016/j.aap.2006.07.005.
[11] Familar, Russell, Stephen Greaves, and Adrian Ellison. "Analysis of Speeding Behavior.” Transportation Research Record: Journal of the Transportation Research Board 2237, no. 1 (January 2011): 67–77. doi:10.3141/2237-08.
[12] Gehlert, Tina, Christoph Schulze, and Bernhard Schlag. "Evaluation of Different Types of Dynamic Speed Display Signs.” Transportation Research Part F: Traffic Psychology and Behaviour 15, no. 6 (November 2012): 667–675. doi:10.1016/j.trf.2012.07.004.
[13] Eboli, Laura, Giuseppe Guido, Gabriella Mazzulla, Giuseppe Pungillo, and Riccardo Pungillo. "Investigating Car Users' Driving Behaviour through Speed Analysis.” PROMET – Traffic & Transportation 29, no. 2 (April 20, 2017): 193–202. doi:10.7307/ptt.v29i2.2117.
[14] Galkin, Andrii, Nataliia Davidich, Tatyana Melenchuk, Yevhen Kush, Yuriy Davidich, and Oleksii Lobashov. "Modelling Truck's Transportation Speed on the Route Considering Driver's State.” Transportation Research Procedia 30 (2018): 207–215. doi:10.1016/j.trpro.2018.09.023.
[15] Rahmani, Mahmood, Erik Jenelius, and Haris N. Koutsopoulos. "Non-Parametric Estimation of Route Travel Time Distributions from Low-Frequency Floating Car Data.” Transportation Research Part C: Emerging Technologies 58 (September 2015): 343–362. doi:10.1016/j.trc.2015.01.015.
[16] Moghaddam, Zohreh Rashidi, and Mansoureh Jeihani. "The Effect of Travel Time Information, Reliability, and Level of Service on Driver Behavior Using a Driving Simulator.” Procedia Computer Science 109 (2017): 34–41. doi:10.1016/j.procs.2017.05.292.
[17] Uchida, Kenetsu. "Estimating the Value of Travel Time and of Travel Time Reliability in Road Networks.” Transportation Research Part B: Methodological 66 (August 2014): 129–147. doi:10.1016/j.trb.2014.01.002.
[18] Woodard, Dawn, Galina Nogin, Paul Koch, David Racz, Moises Goldszmidt, and Eric Horvitz. "Predicting Travel Time Reliability Using Mobile Phone GPS Data.” Transportation Research Part C: Emerging Technologies 75 (February 2017): 30–44. doi:10.1016/j.trc.2016.10.011.
[19] Kusre, B.C., D.C. Baruah, P.K. Bordoloi, and S.C. Patra. "Assessment of Hydropower Potential Using GIS and Hydrological Modeling Technique in Kopili River Basin in Assam (India).” Applied Energy 87, no. 1 (January 2010): 298–309. doi:10.1016/j.apenergy.2009.07.019.
[20] Westgate, Bradford S., Dawn B. Woodard, David S. Matteson, and Shane G. Henderson. "Travel Time Estimation for Ambulances Using Bayesian Data Augmentation.” The Annals of Applied Statistics 7, no. 2 (June 2013): 1139–1161. doi:10.1214/13-aoas626.
[21] Hunter, Timothy, Tathagata Das, Matei Zaharia, Pieter Abbeel, and Alexandre M. Bayen. "Large-Scale Estimation in Cyberphysical Systems Using Streaming Data: A Case Study with Arterial Traffic Estimation.” IEEE Transactions on Automation Science and Engineering 10, no. 4 (October 2013): 884–898. doi:10.1109/tase.2013.2274523.
[2] Brundell-Freij, Karin, and Eva Ericsson. "Influence of Street Characteristics, Driver Category and Car Performance on Urban Driving Patterns.” Transportation Research Part D: Transport and Environment 10, no. 3 (May 2005): 213–229. doi:10.1016/j.trd.2005.01.001.
[3] Davidović, Jelica, Dalibor PeŠ¡ić, and Boris Antić. "Professional Drivers' Fatigue as a Problem of the Modern Era.” Transportation Research Part F: Traffic Psychology and Behaviour 55 (May 2018): 199–209. doi:10.1016/j.trf.2018.03.010.
[4] Dinges, David F. "An Overview of Sleepiness and Accidents.” Journal of Sleep Research 4 (December 1995): 4–14. doi:10.1111/j.1365-2869.1995.tb00220.x.
[5] Iseland, Tobias, Emma Johansson, Siri Skoog, and Anna M. Dåderman. "An Exploratory Study of Long-Haul Truck Drivers' Secondary Tasks and Reasons for Performing Them.” Accident Analysis & Prevention 117 (August 2018): 154–163. doi:10.1016/j.aap.2018.04.010.
[6] Zicat, Emma, Joanne M. Bennett, Eugene Chekaluk, and Jennifer Batchelor. "Cognitive Function and Young Drivers: The Relationship between Driving, Attitudes, Personality and Cognition.” Transportation Research Part F: Traffic Psychology and Behaviour 55 (May 2018): 341–352. doi:10.1016/j.trf.2018.03.013.
[7] Mahajan, Kirti, Nagendra R. Velaga, Akhilesh Kumar, Alok Choudhary, and Pushpa Choudhary. "Effects of Driver Work-Rest Patterns, Lifestyle and Payment Incentives on Long-Haul Truck Driver Sleepiness.” Transportation Research Part F: Traffic Psychology and Behaviour 60 (January 2019): 366–382. doi:10.1016/j.trf.2018.10.028.
[8] Meng, Fanyu, S.C. Wong, Wei Yan, Y.C. Li, and Linchuan Yang. "Temporal Patterns of Driving Fatigue and Driving Performance among Male Taxi Drivers in Hong Kong: A Driving Simulator Approach.” Accident Analysis & Prevention 125 (April 2019): 7–13. doi:10.1016/j.aap.2019.01.020.
[9] Tay, Richard, Philip Champness, and Barry Watson. "Personality and Speeding.” IATSS Research 27, no. 1 (2003): 68–74. doi:10.1016/s0386-1112(14)60060-1.
[10] Liu, Bor-Shong. "Association of Intersection Approach Speed with Driver Characteristics, Vehicle Type and Traffic Conditions Comparing Urban and Suburban Areas.” Accident Analysis & Prevention 39, no. 2 (March 2007): 216–223. doi:10.1016/j.aap.2006.07.005.
[11] Familar, Russell, Stephen Greaves, and Adrian Ellison. "Analysis of Speeding Behavior.” Transportation Research Record: Journal of the Transportation Research Board 2237, no. 1 (January 2011): 67–77. doi:10.3141/2237-08.
[12] Gehlert, Tina, Christoph Schulze, and Bernhard Schlag. "Evaluation of Different Types of Dynamic Speed Display Signs.” Transportation Research Part F: Traffic Psychology and Behaviour 15, no. 6 (November 2012): 667–675. doi:10.1016/j.trf.2012.07.004.
[13] Eboli, Laura, Giuseppe Guido, Gabriella Mazzulla, Giuseppe Pungillo, and Riccardo Pungillo. "Investigating Car Users' Driving Behaviour through Speed Analysis.” PROMET – Traffic & Transportation 29, no. 2 (April 20, 2017): 193–202. doi:10.7307/ptt.v29i2.2117.
[14] Galkin, Andrii, Nataliia Davidich, Tatyana Melenchuk, Yevhen Kush, Yuriy Davidich, and Oleksii Lobashov. "Modelling Truck's Transportation Speed on the Route Considering Driver's State.” Transportation Research Procedia 30 (2018): 207–215. doi:10.1016/j.trpro.2018.09.023.
[15] Rahmani, Mahmood, Erik Jenelius, and Haris N. Koutsopoulos. "Non-Parametric Estimation of Route Travel Time Distributions from Low-Frequency Floating Car Data.” Transportation Research Part C: Emerging Technologies 58 (September 2015): 343–362. doi:10.1016/j.trc.2015.01.015.
[16] Moghaddam, Zohreh Rashidi, and Mansoureh Jeihani. "The Effect of Travel Time Information, Reliability, and Level of Service on Driver Behavior Using a Driving Simulator.” Procedia Computer Science 109 (2017): 34–41. doi:10.1016/j.procs.2017.05.292.
[17] Uchida, Kenetsu. "Estimating the Value of Travel Time and of Travel Time Reliability in Road Networks.” Transportation Research Part B: Methodological 66 (August 2014): 129–147. doi:10.1016/j.trb.2014.01.002.
[18] Woodard, Dawn, Galina Nogin, Paul Koch, David Racz, Moises Goldszmidt, and Eric Horvitz. "Predicting Travel Time Reliability Using Mobile Phone GPS Data.” Transportation Research Part C: Emerging Technologies 75 (February 2017): 30–44. doi:10.1016/j.trc.2016.10.011.
[19] Kusre, B.C., D.C. Baruah, P.K. Bordoloi, and S.C. Patra. "Assessment of Hydropower Potential Using GIS and Hydrological Modeling Technique in Kopili River Basin in Assam (India).” Applied Energy 87, no. 1 (January 2010): 298–309. doi:10.1016/j.apenergy.2009.07.019.
[20] Westgate, Bradford S., Dawn B. Woodard, David S. Matteson, and Shane G. Henderson. "Travel Time Estimation for Ambulances Using Bayesian Data Augmentation.” The Annals of Applied Statistics 7, no. 2 (June 2013): 1139–1161. doi:10.1214/13-aoas626.
[21] Hunter, Timothy, Tathagata Das, Matei Zaharia, Pieter Abbeel, and Alexandre M. Bayen. "Large-Scale Estimation in Cyberphysical Systems Using Streaming Data: A Case Study with Arterial Traffic Estimation.” IEEE Transactions on Automation Science and Engineering 10, no. 4 (October 2013): 884–898. doi:10.1109/tase.2013.2274523.
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