Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science

banner
banner
banner
banner
banner
banner
banner
banner

THE EFFECT OF TOLL ROAD OPERATION ON NATIONAL ROAD PERFORMANCE IN CENTRAL JAVA PROVINCE


DOI: 10.5937/jaes0-43041 
This is an open access article distributed under the CC BY 4.0
Creative Commons License

Volume 21 article 1115 pages: 741-748

Wahyuningsih Tri Hermani*
Student of Doctoral Program of Civil Engineering, Universitas Sebelas Maret, Surakarta, Indonesia

Ary Setyawan
Lecturer of Department of Civil Engineering, Universitas Sebelas Maret, Surakarta, Indonesia

Syafi’i
Lecturer of Department of Civil Engineering, Universitas Sebelas Maret, Surakarta, Indonesia

One of the major infrastructure development programs of the Indonesian government is the construction of toll roads, such as the Trans-Central Java toll road. The construction of these toll roads subsequently affects various aspects of the country, including the capacity and performance of the national road network. However, the government needs to analyze the effect of the toll road network on the performance of the national road network both in the existing and the coming years. Therefore, this study aims to determine the effect of the Trans Java toll road network on the performance of national roads. The study area used was the Central Java Province with a specific focus on toll roads and national roads. The analysis was processed on the EMME/3 software to form a road network with Gravity Model. The findings showed that the largest movement between 2022 and 2048 is in internal zones. It was also discovered that the Volume-Capacity Ratio value of the road network in 2022 was stable while 512 roads were projected to be unstable in 2048. Furthermore, the average travel speed on national road sections in 2022 with toll roads was found to be stable up to 2030 but the speeds started reducing from 2035 to 2048 where the value was recorded to be less than 40 km/hour.

View article
  1. N. H. M. Jamail, A. G. Abdul Halim, and N. S. M. Jamail, “Development of intelligent road maintenance system mobile apps for a highway,” Bull. Electr. Eng. Informatics, vol. 9, no. 6, pp. 2350–2357, 2020, doi: 10.11591/eei.v9i6.2489.
  2. A. E. Husin, D. I. Rahmawati, M. Meisaroh, and B. D. Kussumardianadewi, “Performance Improvement of Box Girder Construction on Toll Road Projects based on M-PERT and VE,” Open Civ. Eng. J., vol. 15, no. 1, pp. 299–309, 2021, doi: 10.2174/1874149502115010299.
  3. C. Zhou, P. Lin, X. Lin, and Y. Cheng, “a Method for Traffic Flow Forecasting in a Large-Scale Road Network Using Multifeatures,” Promet - Traffic - Traffico, vol. 33, no. 4, pp. 593–608, 2021, doi: 10.7307/ptt.v33i4.3709.
  4. W. Mu and C. Gong, “A Data-Driven Approach to W-Beam Barrier Monitoring Data Processing: A Case Study of Highway Congestion Mitigation Strategy,” Sustain., vol. 15, no. 5, 2023, doi: 10.3390/su15054078.
  5. M. Shatanawi, A. Alatawneh, and F. Mészáros, “Implications of static and dynamic road pricing strategies in the era of autonomous and shared autonomous vehicles using simulation-based dynamic traffic assignment: The case of Budapest,” Res. Transp. Econ., vol. 95, no. August, 2022, doi: 10.1016/j.retrec.2022.101231.
  6. M. Bagheri, H. Ghafourian, M. Kashefiolasl, M. T. S. Pour, and M. Rabbani, “Travel management optimization based on air pollution condition using markov decision process and genetic algorithm (case study: Shiraz city),” Arch. Transp., vol. 53, no. 1, pp. 89–102, 2020, doi: 10.5604/01.3001.0014.1746.
  7. A. Shevtsova, A. Novikov, and A. Loktionova, “Methodology For DeterminingParameters Of Design Vehicle, Taking Into Account Conditions Of Arctic Zone Of The Russian Federation,” no. 257, 2023.
  8. D. M. Samosir and A. T. Mulyono, “National Road Preservation Cost Based on Analysis of Surface Flatness Value and Pavement Deflection Value on Road Maintenance Project Funding Program,” J. HPJI, vol. 3, no. 2, pp. 107–118, 2017.
  9. A. Alam, L. Singh, Z. A. Jaffery, Y. K. Verma, and M. Diwakar, “Distance-based confidence generation and aggregation of classifier for unstructured road detection,” J. King Saud Univ. - Comput. Inf. Sci., vol. 34, no. 10, pp. 8727–8738, 2022, doi: 10.1016/j.jksuci.2021.09.020.
  10. H. N. Nurjaman, L. Faizal, N. Suaryana, Y. Dharmawan, and Suwito, “The experimental study of precast concrete panel connection system for rigid pavement in Indonesia,” AIP Conf. Proc., vol. 2227, no. May, 2020, doi: 10.1063/5.0004195.
  11. M. N. Kamel Boulos, A. D. Tsouros, and A. Holopainen, “‘Social, innovative and smart cities are happy and resilient’: Insights from the WHO EURO 2014 International healthy cities conference,” Int. J. Health Geogr., vol. 14, no. 1, pp. 1–9, 2015, doi: 10.1186/1476-072X-14-3.
  12. N.-O. Etinosa, O. Kennedy, D. Famoroti, and J. Samuel, “The validity of a decentralised simulation-based system for the resolution of Road traffic congestion,” J. Appl. Eng. Sci., vol. 20, no. 3, pp. 821–830, 2022, doi: 10.5937/jaes0-28642.
  13. N. Breyer, C. Rydergren, and D. Gundlegård, “Comparative Analysis of Travel Patterns from Cellular Network Data and an Urban Travel Demand Model,” J. Adv. Transp., vol. 2020, 2020, doi: 10.1155/2020/3267474.
  14. L. Nusriadi et al., “Project performance in a toll road infrastructure with a public-private partnership scheme,” vol. 6239, pp. 114–120, 2021.
  15. W. Jamilah and D. Handayani, “Impact of freight transportation on road network performance in Surakarta with toll road scenario Impact of Freight Transportation on Road Network Performance in Surakarta with Toll Road Scenario,” vol. 040017, no. June, 2018.
  16. J. Akbardin, D. Parikesit, B. Riyanto, A. Taufik, Mulyono, and S. W. Mudjanarko, “The Trips Assignment Influence of Freight Vehicle Network System on the Need for Fuel Consumption in Internal-Regional,” J. Phys. Conf. Ser., vol. 1364, no. 1, 2019, doi: 10.1088/1742-6596/1364/1/012047.
  17. O. Martinez, J. M. Garcia, and N. Kumar, “The gravity model as a tool for decision making. Some highlights for Indian roads,” Transp. Res. Procedia, vol. 58, no. 2019, pp. 333–339, 2021, doi: 10.1016/j.trpro.2021.11.045.
  18. A. Dombalyan, V. Kocherga, E. Semchugova, and N. Negrov, “Traffic Forecasting Model for a Road Section,” Transp. Res. Procedia, vol. 20, no. September 2016, pp. 159–165, 2017, doi: 10.1016/j.trpro.2017.01.040.
  19. R. Hidayat and A. Shafira Niskhi, “The Effect of Vehicle Proportion on Traffic Flow Speed ​​(Case Study: Jalan Tgk. Chik Ditiro in front of the Banda Aceh Finance Building),” Tameh J. Civ. Eng., vol. 10, no. 2, pp. 80–89, 2021, doi: 10.37598/tameh.v10i2.155.
  20. PUPR, “Indonesian Road Capacity Manual (MKJI).” 1997.
  21. Tamin, Transportation planning and modeling. ITB, 2000.