Integrated Approach to Information Analysis for Planning the Transport of Sensitive Cargo

Authors

  • Iouri SEMENOV West Pomeranian University of Technology, Szczecin, Faculty of Maritime Technology and Transport, Szczecin, Poland Author
  • Ludmila FILINA-DAWIDOWICZ West Pomeranian University of Technology, Szczecin, Faculty of Maritime Technology and Transport, Szczecin, Poland Author
  • Piotr TROJANOWSKI West Pomeranian University of Technology, Szczecin, Faculty of Maritime Technology and Transport, Szczecin, Poland Author

DOI:

https://doi.org/10.5604/01.3001.0013.6163

Keywords:

transport planning, information analysis, sensitive cargo

Abstract

This article presents the methodology of information analysis, required for planning safe road transport of sensitive cargoes. Based on the literature studies we found that the traditional approaches applied to analyze traffic information are insufficient to ensure safe transport of sensitive loads as they fail to take into account several threatening factors. In addition, the need was noted to develop the procedures that may allow to choose a transport route considering appearance of so-called high-risk zones within road infrastructure, analyze the interdependence of such zones with errors made during the design or operation of road infrastructure and investigate the impact of road traffic on the frequency of road accidents involving Heavy Goods Vehicle. Therefore, article aims to present an integrated approach to traffic information analysis. Thus a multiple stage data ordering procedures were proposed, based on grouping information on accident rates and inclusion of audit results of selected route sections. Considering that transport infrastructure plays an important role in transport safety, the proposed methodology includes the analysis of errors in infrastructure and a merger in the sections the detected risk zones within the road infrastructure in any location. Application of this methodology can improve the planning of road transport of sensitive cargoes. Its verification was carried out on the example of a selected route running through Poland. During the audit of the route, it was found that a number of incorrect design solutions were applied on its separate sections, which may lead to high values of the severity factor for potential collisions and indicator of possible post-accidental losses. As a result of the research, the areas of the route were identified, where high-risk zones are located that threaten the safety of road traffic of vehicles, including those carrying sensitive loads. Research results may be of interest for those, who are involved in planning and organization of sensitive cargo transport, both in domestic and in international relations.

References

BARCIK, J., & CZECH, P., 2010. Wpływ infrastruktury drogowej na bezpieczeństwo ruchu – część 1. Zeszyty Naukowe. Transport /Politechnika Śląska 67, 13-21.

BRANNOLTE, U., & MUNCH, A., 2009. Software-based road safety analysis in Ger-many. 4th IRTAD Conference Seoul, South Korea, 16-17 September.

CSISZÁR, C., & FÖLDES, D., 2018, System Model for Autonomous Road Freight Transportation. Promet-Traffic & Transportation 30(1), 93-103.

European Transport Safety Council (ETSC), 1997. Road safety audit and road safety impact assessment. Brussels.

GACA, S., & POGODZIŃSKA, S., 2017. Speed management as a measure to improve road safety on Polish regional roads. Archives of transport, 43 (3), 29-42.

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.

GHADI, M., & TOROK, Á., 2017. Comparison different black spot identification methods. Transportation Research Procedia 27, 1105–1112.

Guidelines for competent authorities on the application of the Directive 2008/96/EC on road infrastructure safety management. 19th December EU 2011.

ISO 39001, 2012. A management system standard for road traffic safety. Requirements with guidance for use, October.

JAMROZ, K., BUDZYŃSKI, M., KUSTRA, W., MICHALSKI, L., & GACA, S., 2014. Tools for road infrastructure safety management – Polish experiences. Transportation Research Procedia 3, 730–739.

KHAN, F. I., & ABBASI S.A., 1999. Major accidents in process industries and an analysis of causes and consequences. Journal of Loss Prevention in the Process Industries 12(5), 361-378.

KOMENDA GŁÓWNA POLICJI (KGP), 2018. Wypadki drogowe w Polsce w 2017 r., Warszawa.

KOSTRZEWSKI, M., & VARJAN, P., 2018, The issue of parking areas conditions in surrounding of logistics and production facilities in Slovakia and Poland. Transport Means - Proceedings of the International Conference 2018, 791-796.

LAMR, M., 2018. Big Data and Its Usage in Systems of Early Warning of Traffic Accident Risks. In 2018 Sixth International Conference on Enterprise Systems, pp. 154-157. IEEE.

LAWSON, S., 2011. Crash rate – Star Rating comparisons. Review of available evidence. Working Paper 504.2, EuroRAP, Brussels.

LI, T., YANG, Y., WANG, Y., CHEN, C., & YAO, J., 2016. Traffic fatalities prediction based on support vector machine. Archives of Transport, 39 (3), 21-30.

MACIOSZEK, E., 2015. The road safety at turbo roundabouts in Poland. Archives of Transport, 33 (1), 57-67.

MADSEN, O., 2005. From crash prevention of loss reduction in the Danish, Ph.D. thesis, Traffic Research Group, Department of Development and Planning, Aalborg University, Aalborg.

MASHROS, N., HASSAN, S., HARYATI, Y., AHMAD, M. S. A., SAMAT, I., PUAN, O. C., HASSAN, N.A., YUNUS, N.Z.M., HARON, Z., 2018. Road traffic accidents on Senai-Desaru expressway. In MATEC Web of Conferences, vol. 250, p. 02002. EDP Sciences.

MORIN, D. A., 1967. Application of statistical concepts to accident data. Highway Research Record 188, 72–80.

MUSLIM, N. H. B., SHAFAGHAT, A., KEYVANFAR, A., & IAMAIL, M., 2018. Green Driver: driving behaviors revisited on safety. Archives of Transport, 47 (3), 49-78.

NORDEN, N., ORLANSKY, J., & JACOBS, H., 1956. Application of statistical quality-control techniques to analysis of highway accident data. Highway Research Board Bulletin 117, 17–31.

PATANKAR, A., WALUNJ, S.G., PIMPLE, A., & KADHANE, D., 2017. Blackspot warning system identification and analysis. Vishwakarma Journal of Engineering Research 1 (4), 201-206.

PIARC, 2007. Road Accident Investigation Guidelines For Road Engineers.

RAMOS, L., SILVA, L., SANTOS, M.Y., & PIRES, J., 2015. Detection of road accident accumulation zones with a visual analytics approach. Procedia Computer Science 64, 969-976.

RZECZPOSPOLITA, 2017. Przewóz towarów wrażliwych pod kontrolą Służby Celno-Skarbowej, URL: https://www.rp.pl/Firma/304119984-Przewoz-towarow-wrazliwych-pod-kontrola-Sluzby-Celno-Skarbowej. 11.04.2017.

SKRODZKA, I., 2015. Development of knowledge-based economy in European union in 2000-2014. Quantitative Methods in Economics XVI (2), 113-122.

SORENSEN, M., & ELVIK, R., 2007. Black spot management - best practice guidelines and implementation steps. Report 919.

SORENSEN, M., & ELVIK, R., 2007. Black spot management and safety analysis of road networks - best practice guidelines and implementation steps. The Institute of Transport Economics, Oslo, Norway, 118 p.

SORENSEN, M., & PEDERSEN, S., 2007. Injury severity based black spot identification. Annual Transport Conference at Aalborg University, 1-10.

THE WORLD BANK, 2013. Przegląd potencjału w zakresie zarządzania bezpieczeństwem drogowym w Polsce. Report 78319.

TM, 2011. Technical guidelines for the preparation of road safety audits, Road Safety Impact Assessments and Road Safety Inspections, October. URL: https://ec.eu-ropa.eu/transport/road_safety/sites/roadsa-fety/files/topics/infrastructure/national-guide-lines/pdf/malta-national-guidelines.pdf.

VIVEK, & SAINI, R., 2015. Identification and improvement of accident black spots on N.H.- 3 district Una, Himachal Pradesh - A Case Study. International Journal of Core Engineering & Management 2(3), 155-177.

WHO, 2018. Road traffic injuries. URL: http://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries. 19.02.2018.

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Published

2019-09-30

Issue

Section

Original articles

How to Cite

SEMENOV, I., FILINA-DAWIDOWICZ, L., & TROJANOWSKI, P. (2019). Integrated Approach to Information Analysis for Planning the Transport of Sensitive Cargo. Archives of Transport, 51(3), 64-76. https://doi.org/10.5604/01.3001.0013.6163

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