The Relationship between Overloading and Over Dimension of Freight Vehicle

Anton Budiharjo, Ahmad Fauzi, - Masrukhin, Bagus Prasetyo


The freight vehicle, as the primary mode of goods distribution, has a relatively small carrying capacity.  However, it is forced to be able to meet the demand. As a result, many business actors overload their freight vehicles to reduce transportation costs. In organizing the transportation of goods, the indications are such violations in vehicle dimensions (over dimensions) in line with the business actors' vehicle overload. This study aims to determine the effect of over-size on an overload of the freight vehicle. This study's research method is a quantitative method that used a survey technique to collect the data and used the statistical method of regression and correlation as the analysis method. The study results reveal that the level of overloading at Widang weighbridge reached an average of 44.72% per day. In comparison, the level of overloading at the Losarang weighbridge reached 87.85% per day. The vehicle dimension measurement survey results showed that from 159 vehicle samples, there were 107 over-dimension vehicles in the form of length, width, and height, and there were 32 vehicles, which increased their tire size. The statistical analysis of regression and correlation tests showed that only the addition of the maximum vehicle dimensions, which had a significant effect on the overweight.


Freight vehicle; over-dimension; overloading; road safety.

Full Text:



C. M. Krause and L. Zhang, “Short-term travel behavior prediction with GPS, land use, and point of interest data,” Transp. Res. Part B, vol. 123, no. 76, pp. 349–361, 2019.

C. J. Nash and D. J. Cole, “Identification and validation of a driver steering control model incorporating human sensory dynamics,” Int. J. Veh. Mech. Mobil., vol. 31, no. 14, pp. 495–517, 2020.

D. Milne et al., “The influence of variation in track level and support system stiffness over longer lengths of track for track performance and vehicle track interaction and vehicle track interaction,” Veh. Syst. Dyn., vol. 10, no. 3, pp. 1–24, 2019.

Y. Wang, W. Y. Szeto, K. Han, and T. L. Friesz, “Dynamic traffic assignment : A review of the methodological advances for environmentally sustainable road transportation applications,” Transp. Res. Part B, vol. 111, no. 33, pp. 370–394, 2018.

I. Simanjuntak, “Analysis of the Effect of Overloading on Road Performance and Age of a Flexible Pavement Plan (Case Study of Pringsurat Highway, Ambarawa-Magelang),” J. Civ. Eng., vol. 5, no. 13, pp. 88–99, 2014.

V. Fors, B. Olofsson, L. Nielsen, V. Fors, and B. Olofsson, “Attainable force volumes of optimal autonomous at-the-limit vehicle manoeuvres vehicle manoeuvres,” J. Heavy Veh., vol. 12, no. 34, pp. 517–528, 2019.

M. of Transportation, Road Traffic and Transport. Indonesia, 2009.

W. Zhai, Z. Han, Z. Chen, L. Ling, and S. Zhu, “Train – track – bridge dynamic interaction : a state-of- the-art review,” Int. J. Veh. Mech. Mobil., vol. 56, no. 12, pp. 984–1027, 2019.

G. Morrison, D. Cebon, G. Morrison, and D. Cebon, “Sideslip estimation for articulated heavy vehicles at the limits of adhesion,” Veh. Syst. Dyn., vol. 54, no. 11, pp. 1601–1628, 2016.

M. Mahmoudi, J. Chen, T. Shi, and Y. Zhang, “A cumulative service state representation for the pickup and delivery problem with transfers,” Transp. Res. Part B, vol. 129, no. 87, pp. 351–380, 2019.

L. I. Harlyan, “Statistical Hypothesis Test (MAM 4137) Dept. Malang Fisheries and Marine Resource Management,” Malang, 2013.

Ministry of Transportation, Vehicles. 2012, p. 55.

S. F. A. Batista, L. Leclercq, and N. Geroliminis, “Estimation of regional trip length distributions for the calibration of the aggregated network traffic models,” Transp. Res. Part B, vol. 122, no. 12, pp. 192–217, 2019.

S. Kharrazi, B. Augusto, and N. Fröjd, “Vehicle dynamics testing in motion based driving simulators,” Veh. Syst. Dyn., vol. 58, no. 1, pp. 92–107, 2020.

J. W. Creswell, Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.), 4th ed. Boston, MA: Pearson, 2012.

D. G. of L. Transportation, Provisions Regarding Bulk Goods Transportation. Indonesia, 2003, p. 56.

H. Bergland and P. Andreas, “Efficiency and traffic safety with pay for performance in road transportation,” J. Transp., vol. 130, no. 34, pp. 21–35, 2019.

M. Paipuri and L. Leclercq, “Bi-modal macroscopic traffic dynamics in a single region,” J. Civ. Engginering Forum, vol. 133, no. 67, pp. 257–290, 2020.

K. Satsukawa, K. Wada, and T. Iryo, “Stochastic stability of dynamic user equilibrium in unidirectional networks : Weakly acyclic game approach R,” Transp. Res. Part B, vol. 125, no. 43, pp. 229–247, 2019.

T. Chugh, F. Bruzelius, M. Klomp, and B. Shyrokau, “An approach to develop haptic feedback control reference for steering systems using open-loop driving manoeuvres,” Veh. Syst. Dyn., vol. 11, no. 4, pp. 345–355, 2019.

H. J. U. Dewi, “Evaluation of the Effects of Floods, Overload, and Quality of Construction on Road Conditions,” Transp. J., vol. 4, no. 17, pp. 45–57, 2017.

G. Morrison, D. Cebon, G. Morrison, and D. Cebon, “Sideslip estimation for articulated heavy vehicles at the limits of adhesion,” Int. J. Veh. Mech. Mobil., vol. 54, no. 11, pp. 1601–1628, 2016.



  • There are currently no refbacks.

Published by INSIGHT - Indonesian Society for Knowledge and Human Development