Grzegorz Sierpiński, Marcin Staniek


Background: The article provides a discussion on freight transport planning. The existing solutions applied in this sphere have been compared with environment-related needs. The concept which has been proposed involves a dedicated travel planner that takes some additional non-standard criteria into consideration. At the same time, the authors have highlighted the necessity to expand the algorithms being applied and to address the comprehensive nature of the problem. However, it is the first and last mile section of supply chains on which the article focuses. The planner described in the paper is being developed as a part of an integrated platform implemented under the international S-mile project.

Research methodology: The solutions proposed for transport planning purposes include application of ICT. A review of the available solutions has made it possible to indicate one of the planner currently in use as the foundation upon which a more advanced freight transport planning tool dedicated to the first/last mile section can be built. The planner requires application of several optimisation algorithms, including those which consider route parameters, the selection of fleet vehicles available for the given task, cargo distribution over the vehicle etc. The article defines primary as well as secondary criteria that such a planner should take into account, including the environmental ones. What the authors have also highlighted is the possibility to make use of open data sources. The approach they have proposed makes it possible to raise the level of environmental awareness at the first and the last mile management stage, and since multiple transport aspects have been addressed, it also increases planning efficiency.

Goals: The purpose of the article has been to discuss an eco-friendly solution which may limit the negative environmental impact of transport.

Conclusions: The solution described in the paper may change the manner in which freight transport is managed in cities. Taking environmental criteria into consideration makes it possible to reduce the negative environmental impact of transport. Planning of freight transport requires that far more criteria should be taken into account compared to route planning for the travelling population. A comprehensive fleet management platform featuring a planning module combined with other modules of the S-mileSys system being currently developed is also aimed at integration of large freight companies with the carriers that service first and last miles.


eco-friendly supply chains, freight transport planning, ICT systems in logistic, sustainable development, open data source

Full Text:



Bąk, M., Koszty i opłaty w transporcie, Wydawnictwo Uniwersytetu Gdańskiego, Gdańsk 2010.

Becker U. J., Becker T., Gerlach J., The True Costs of Automobility: External Costs of Cars Overview on existing estimates in EU-27, Dresden 2012.

Berwick M., Farooq M., Truck Costing Model for Transportation Managers. Upper Great Plains Transportation, Institute North Dakota State University, 2003.

Borkowski P., Towards an Optimal Multimodal Travel Planner – Lessons from the European Experience, [In:] Sierpiński G. (ed.), Intelligent Transport Systems and Travel Behavior. Advances in Intelligent Systems and Computing, vol. 50, 2017, pp. 163-174.

Clean Power for Transport: A European alternative fuels strategy, COM 17 (2013).

Esztergár-Kiss D., Csiszár Cs., Evaluation of multimodal journey planners and definition of service levels, International Journal of Intelligent Transportation Systems Research, 13 (2015), pp. 154–165.

Földes D., Csiszár Cs., Route Plan Evaluation Method for Personalized Passenger Information Service, Transport 30 (2015)/3, pp. 273-285.

GTAlg – Multimodal Trip Planner Specification, Annex 4 to D4.3 Report of A Platform to Analyse and Foster the Use of Green Travelling Options, Katowice 2015.

Handbook of Emission Factors for Road Transport (HBEFA Version 3.2), 2014.

Iwan S., Małecki K., Stalmach D., Utilization of Mobile Applications for the Improvement of Traffic Management Systems, [In:] Mikulski J. (ed.), Telematics - Support for Transport. TST 2014. Communications in Computer and Information Science, vol. 471, Berlin–Heidelberg 2014, pp. 48-58.

Iwan S., Małecki K., Data Flows in an Integrated Urban Freight Transport Telematic System, In: Mikulski J. (ed.), Telematics in the Transport Environment. TST 2012. Communications in Computer and Information Science, vol. 329, Berlin–Heidelberg 2012, pp. 79-86.

Karoń G., Janecki R., Concept of Smart Cities and Economic Model of Electric Buses Implementation, [In:] Mikulski J. (ed.), Telematics – Support for Transport. Communications in Computer and Information Science, vol. 471, Berlin – Heidelberg 2014, pp. 100-109.

Korzhenevych A., Dehnen N., Bröcker J., Holtkamp M., Meier H., Gibson G., Varma A., Cox V., Update of the Handbook on External Costs of Transport. Final Report. Ricardo-AEA/R/ ED57769, Oxford 2014.

Lewczuk K., Żak J., Pyza D., Jacyna-Gołda I., Vehicle Routing in Urban Area – Environmental and Technological Determinants, Urban Transport XIX, WIT Transactions on The Built Environment, 130 (2013), pp. 373-384.

Maibach M., Schreyer C., Sutter D., van Essen H.P., Boon B.H., Smokers R., Schroten A., Doll C., Pawłowska B., Bąk M., Handbook on Estimation of External Costs in the Transport Sector. Internalisation Measures and Policies for All external Cost of Transport (IMPACT), Delft 2008.

Małecki K., The importance of automatic traffic lights time algorithms to reduce the negative impact of transport on the urban environment, Transportation Research Procedia, 16 (2016), pp. 329-342.

Mindur L. (ed.), Technologie transportowe, ITE-PIB, Radom 2014.

Mindur M. (ed.), Logistyka: infrastruktura techniczna na świecie: zarys teorii i praktyki, Warszawa-Radom 2012.

National Elevation Dataset, http://nationalmap.gov/elevation.html

Naumov V., Estimating the vehicles’ number for servicing a flow of requests on goods delivery, [In:] 20th EURO Working Group on Transportation Meeting (EWGT2017), Budapest, 4-6 September 2017.

Open Street Map, http://wiki.openstreetmap.org/wiki/Main_Page

Pawłowska B., Zrównoważony rozwój transportu na tle współczesnych procesów społeczno-gospodarczych, Wydawnictwo Uniwersytetu Gdańskiego, Gdańsk 2013.

Pijoan A., Oribe-Garcia I., Kamara-Esteban O., Genikomsakis K. N., Borges C. E., Alonso-Vicario A., [In:] Sierpiński G. (ed.), Intelligent Transport Systems and Travel Behaviour. Advances in Intelligent Systems and Computing, vol. 505, Berlin–Heidelberg 2017, pp. 47-63.

Pisinger D., Egeblad J., Heuristic approaches for the two- and three-dimensional knapsack packing problems, DIKU Technical-report, vol. 13, 2006.

Plan rozwoju elektromobilności w Polsce. Energia do przyszłości, Ministerstwo Energii, 2016.

Popiela K., Wasiak M., A method of loading unit formation taking into account mass, load-bearing strength and surfaces of packing units, Scientific Journal of Silesian University of Technology. Series Transport, 96 (2017), pp. 151-160, DOI: https://doi.org/10.20858/sjsutst.2017.96.14

S-mile Report D4.1 Emission factor calculation tool. Smart platform to integrate different freight transport means, manage and foster first and last mile in supply chains, Bilbao 2016.

Shen Y., Nie Q., Yuan Q., Yang X., Study on express delivery service provider configuration by applying a synthetic method, [In:] 1st International Conference on Information Science and Engineering (ICISE 2009), pp. 4514–4517.

Shuttle Radar Topography Mission, http://srtm.csi.cgiar.org/

Sierpiński, G., Technologically advanced and responsible travel planning assisted by GT Planner, [In:] Macioszek E., Sierpiński G. (edd.), Contemporary Challenges of Transport Systems and Traffic Engineering. Lecture Notes in Network and Systems, vol. 2, 2017, pp. 65-77.

Sierpiński G., Open Street Map as a Source of Information for a Freight Transport Planning System, [In:] Sierpiński G. (ed.), Advanced Solutions of Transport Systems for Growing Mobility. Advances in Intelligent Systems and Computing, vol. 631, 2018, pp. 193-202.

Staniek M., Road pavement condition as a determinant of travelling comfort, [In:] Sierpiński G. (ed.), Intelligent Transport Systems and Travel Behaviour. Advances in Intelligent Systems and Computing, vol. 505, 2017, pp. 99-107.

The Calculation Of External Costs In The Transport Sector. A Comparative Analysis of Recent Studies in the Light of the Commission's 'Greening Transport Package', European Parliament's Committee on Transport and Tourism, Brussels 2009.

The Noise Navigation Sound Level Database (NNSLD), E•A•RCAL Laboratory, 2015.

TriMet, https://trimet.org/#/planner

Turoń K., Czech P., Społeczna odpowiedzialność biznesu w branży TSL, Wydział Transportu Politechniki Śląskiej, Katowice 2017.

Urban Mobility – Research Theme Analysis Repor, Communicating Transport Research and Innovation, 2016.

Van Essen H.P., Schroten A., Otten M., Sutter D., Schreyer C., Zandonella R., Maibach M., Doll C., External costs of transport in Europe. Update Study for 2008. Delft 2011.

White Paper: Roadmap to a Single European Transport Area – Towards a competitive and resource efficient transport system, COM 144 (2011).


  • There are currently no refbacks.