Journal of Intelligent Transportation and Urban Planning
Journal of Intelligent Transportation and Urban Planning(ITUP)
Frequency: Annually
Developing a Breakeven Point Model Based on Enforce Rate for Installing Weigh in Motion System in Inter-City Transportation
Since freight transportation is growing up in developing countries, road pavement management is getting to be a serious concern for transport authorities. It is getting to be more important while a huge amount of investment budgets are required for construction and maintenance of roads and leads policy makers to tackle trucks’ overloading. One of the well-known methods to avoid pavement failure is to use Weigh In Motion system (WIM), which is an important component of Intelligent Transport Systems (ITS) and its usage is increasing to be applied for overloading enforcement. Installing weight in motion system is a constructive project with high investment in terms of special pavement, electronic devices, and data transferring devices and human, and it is necessary to develop a trade-off model between pavement cost repairing and installing weigh in motion system. Therefore, in this research work, a breakeven based model has been proposed to determine the minimum enforce rate according to the purchasing and installation, operating and maintenance costs. Repairing cost reduction on pavement is considered as income while the average overloaded axles under enforcement, performed by authorities to tackle overloading, is studied as a criterion and the proposed model determines the minimum average of overloaded axes in which installing WIM would be a profitable project. The proposed model has been developed in a parametric pattern, and an installed WIM system has also been selected as case study to determine the rate of required enforcement. Results revealed that the proposed model could help decision-makers to trade-off the cost of installation and reduction rate of pavement failure according to enforce rate applied by WIMs.
Keywords:Weigh in Motion; Pavement Management; Break-even; Enforcement; Overloading
Author: Abbas Mahmoudabadi,Razieh Akbari Lalaei


  1. A. Mahmoudabadi and A. Abolghasem, “Cluster-Based Method for Evaluation of Truck’s Weighing Control Stations,” Clara M. Ionescu, Ed., MATLAB — A Ubiquitous Tool for the Practical Engineer, Chapter 7, InTech Publishing Group, ISBN: 978-953-307-907-3, pp. 137-144, 2011.
  2. American Association of State Highway and Transportation Officials, “Policy on geometric design of highways and streets,” Washington, D.C, 2001.
  3. A. Mahmoudabadi and A. Abolghasem, “Application of Chaos Theory in Trucks’ Overloading Enforcement,” Journal of Engineering - Hindawi Publishing Corporation, Article ID 245293, vol. 2013, 5 pages, 2013.
  4. Y.H. Huang, Pavement Analysis and Design, 2nd ed., Pearson Prentice Hall, 2004.
  5. B. Taylor, A. Bergan, N. Lindgren, and C. Berthelot, “The Importance of Commercial Vehicle Weight Enforcement in Safety and Road Asset Management,” Traffic Technology International, Annual Review, pp. 234-237, 2000.
  6. A. Bazzi, B.M. Masini, and O. Andrisano, “On the Frequent Acquisition of Small Data Through RACH in UMTS for ITS Applications,” IEEE Transactions on Vehicular Technology, vol. 60(7), pp. 2914-2926, 2011.
  7. C. La Palombara, V. Tralli, B.M. Masini, and A. Conti, “Relay-Assisted Diversity Communications,” IEEE Transactions on Vehicular Technology, vol. 62(1), pp. 415-421, 2013.
  8. B. Jacob and V.F.L. Beaumelle, “Improving truck safety: potential of weigh-in-motion technology,” IATSS Research, vol. 34(1), pp. 9-15, 2010.
  9. B. McCall, C. Walter, and J. Vodrazka, “Sate’s Successful Practices Weight-In-Motion Handbook,” Department of Transportation, Washington D.C, 1997.
  10. K.M. Belfield, S.S. Nabil, and E. Lee Clyde, “Truck weight limit enforcement technology applicable to NAFTA traffic along the Texas-Mexico border,” Southwest University Transportation Center, Texas Transportation Institute, Texas A&M University, 2000.
  11. H. Gutierrez Paul and Dalsted Norman L, “Break-even method of investment analysis,” Colorado State University Cooperative Extension, 1990.
  12. A. Taroun, “Towards a better modelling and assessment of construction risk: Insights from a literature review,” International Journal of Project Management, vol. 32, pp. 101-115, 2014.
  13. P. Morano and F. Tajani, “The break-even analysis applied to urban renewal investments: A model to evaluate the share of social housing financially sustainable for private investors,” Habitat International, vol. 59, pp. 10-20, 2017.
  14. J. Garcia-Barberena, A. Monreal, and M. Sánchez, “The BEPE – Break-Even Price of Energy: A financial figure of merit for renewable energy projects,” Renewable Energy, vol. 71, pp. 584-588, 2014.
  15. A. Mahmoudabadi and S.M. Seyedhosseini, “Improving the efficiency of weigh in motion systems through optimized allocating truck checking oriented procedure,” IATSS Research, vol. 36(2), pp. 123-128, 2013.
  16. A. Mahmoudabadi and R. Tavakkoli-Moghaddam, “The use of a genetic algorithm for clustering the weighing station performance in transportation–A case study,” Expert Systems with Applications, vol. 38(9), pp. 11744-11750, 2010.
  17. M. Rehan Karim, N. Ibtishamiah Ibrahim, A. Abdullah Saifizul, and H. Yamanaka, “Effectiveness of vehicle weight enforcement in a developing country using weigh-in-motion sorting system considering vehicle by-pass and enforcement capability,” IATSS Research, vol. 37(2), pp. 124-129, 2014.
  18. J. Heather, F. Moura, and T. Domingos, “Transport infrastructure project evaluation using cost-benefit analysis,” Procedia-Social and Behavioral Sciences, vol. 111, pp. 400-409, 2014.
  19. J. Odeck and M. Welde, “Economic evaluation of intelligent transportation systems strategies: The case of the Oslo toll cordon,” IET Intelligent Transport Systems, vol. 4(3), pp. 221-228, 2010.
  20. S. Adlinge Sharad and A. K. Gupta, “Pavement deterioration and its causes,” International Journal of Innovative Research and Development, vol. 2(4), pp. 437-450, 2013.