An advanced planner for urban freight delivering

• Autorzy: Comi A. , Buttarazzi B. , Schiraldi M. , Innarella R. , Varisco M. , Traini P.

Identyfikatory

DOI

10.5604/01.3001.0012.8363

• Języki publikacji: EN

Abstrakty

EN

The paper aims at introducing an advanced delivery tour planner to support operators in urban delivery operations through a combined approach which chooses delivery bays and delivery time windows while optimizing the delivery routes. After a literature review on tools for the management and the control of the delivery system implemented for optimizing the usage of on-street delivery bays, a prototypical tour delivery planner is described. The tool allows transport and logistics operators to book the delivery bays and to have real-time suggestions on the delivery tour to follow, through the minimization of the total delivery time. Currently, at development phase, the tool has been tested in a target zone, considering the road network and time/city delivering constraints and real-time data about vehicles location, traffic and delivery bay availability. The tool identifies the possible tours based on the delivery preferences, ranks the possible solutions according to the total route time based on information on the road network (i.e. travel time forecasts), performs a further optimization to reduce the total travel times and presents the user the best alternative along with the indications of which delivery bay to use in each delivery stop. The developed prototype is composed by two main parts: a web application that manages communication between the database and the road network simulation, and, an Android mobile App that supports transport and logistic operators in managing their delivering, pre trip and en route, showing and updating routing based on real-time information.

Słowa kluczowe

EN

urban freight; urban freight delivering; advanced planning

PL

transport miejski; dostarczanie ładunków miejskich; planowanie zaawansowane

• Wydawca: Warsaw University of Technology, Faculty of Transport
• Czasopismo: Archives of Transport
• Rocznik: 2018
• Tom: Vol. 48, iss. 4
• Strony: 27--40
• Opis fizyczny: Bibliogr. 54 poz., rys.

Twórcy

autor

Comi A.

• University of Rome Tor Vergata, Department of Enterprise Engineering, Rome, Italy

autor

Buttarazzi B.

• University of Rome Tor Vergata, Department of Enterprise Engineering, Rome, Italy

autor

Schiraldi M.

• University of Rome Tor Vergata, Department of Enterprise Engineering, Rome, Italy

autor

Innarella R.

• University of Rome Tor Vergata, Department of Enterprise Engineering, Rome, Italy

autor

Varisco M.

• University of Rome Tor Vergata, Department of Enterprise Engineering, Rome, Italy

autor

Traini P.

• University of Rome Tor Vergata, Department of Civil Engineering and Computer Science Engineering, Rome, Italy

Bibliografia

• [1] ALHO, A. R., SILVA, J. A., 2014. Analyzing the relation between land-use/urban freight operations and the need for dedicated infrastructure/enforcement - Application to the city of Lisbon. Research in Transportation Business & Management, 11, pp. 85–97.
• [2] ANDA, C., ERATH, A., FOURIE, P. J., 2017. Transport modelling in the age of big data. International Journal of Urban Sciences, pp. 19-42.
• [3] BAUDEL, T., DABLANC, L., ALGUIAR-MELGAREJO, P., ASHTON, J. 2016. Optimizing urban freight deliveries: from designing and testing a prototype system to addressing real life challenges. Transportation Research Procedia, Volume 12, pp. 170-180.
• [4] BEN-AKIVA, M., LERMAN, S. R., 1985. Discrete Choice Analysis: Theory and Application to Travel Demand. Cambridge, MA: MIT Press.
• [5] BROWNE, M., ALLEN, J., ATTLASSY, M., 2007. Comparing freight transport strategies and measures in London and Paris. International Journal of Logistics Research and Applications, 10(3), pp. 205-219.
• [6] CASCETTA, E. 2011. Transportation Systems Analysis: Models and Applications. Springer.
• [7] CATTARUZZA, D., ABSI, N., FEILLET, D., GONZALEZ-FELIU, J., 2017. Vehicle Routing Problems for City Logistics. EURO Journal of Transportation and Logistics 6(1), pp. 51-79.
• [8] CHLOUPEK, A., ZAJICEK, J., 2013. Ladezonen: architecture of the IT support for loading bay management and of the mobile routing application. BESTFACT.
• [9] COMI, A., BUTTARAZZI, B., SCHIRALDI, M., 2018. Smart urban freight transport: tools for planning and optimising delivery operations. In Simulation Modelling Practice and Theory 88, pp. 48-61, Elsevier Ltd. DOI: 10.1016/j.simpat.2018.08.006.
• [10] COMI, A., BUTTARAZZI, B., SCHIRALDI, M., INNARELLA, R., VARISCO, M., ROSATI, L., 2017. DynaLOAD: a simulation framework for planning, managing and controlling urban delivery bays. Transportation Procedia 22, pp. 335-344. DOI: 10.1016/j.trpro.2017.03.049.
• [11] COMI, A., ROSATI, L., 2013. CLASS: A city logistics analysis and simulation support system. Procedia-Social and Behavioral Sciences, 87, pp. 321-337. DOI: 10.1016/j.sbspro.2013.10.613.
• [12] COMI, A., ROSATI, L., 2015. CLASS: A DSS for the Analysis and the Simulation of Urban Freight Systems. Transportation Research Procedia, 5, pp. 132-144. DOI: 10.1016/j.trpro.2015.01.007.
• [13] CONWAY, A., WANG, X., CHEN, Q., SCHMID, J., 2016. Freight Costs at the Curbside”. New York (NY, USA): UTRC/RF Grant No: 49198-17-26, University Transportation Research Center (UTRC).
• [14] DANTZIG, G., RAMSER, J., 1959. The truck dispatching problem. Management Sciences, 6(1), pp. 80-91.
• [15] DE OLIVEIRA, L. K., GUERRA DIAS, E., 2014. Methodology to diagnosis of urban goods distribution: a case study in Belo Horizonte City (Brazil). Procedia - Social and Behavioral Sciences, 125, pp. 199-211.
• [16] EKSIOGLU, B. V., 2009. The vehicle routing problem: a taxonomic review. Computers & Industrial Engineering, 57(4), pp. 1472-1483.
• [17] ERDOĞAN, G., 2017. An open source spreadsheet solver for vehicle routing problems. Computers & Operations Research, 84, pp. 62-72.
• [18] FERRECCHI, P., 2013. Un caso di Successo: l’esperienza della Regione Emilia Romagna.Retrieved from www.regione.emilia-romagna.it, in Italian.
• [19] FOLTIN, P., GONTARCZYK, M., ŚWIDERSKI, A., ZELKOWSKI, J., 2015. Evaluation model of the companies operating within logistic network. Archives of Transport, 36(4), pp. 21-33, DOI: 10.5604/01.3001.0010.052.
• [20] GALKIN, A., 2017. Urban environment influence on distribution part of logistics systems. Archives of Transport, 42(2), pp. 7-23, DOI: 10.5604/01.3001.0010.052.
• [21] GHIANI, G., GUERRIERO, F., LAPORTE, G., MUSMANNO, R., 2003. Real-time vehicle routing: Solution concepts, algorithms and parallel computing strategies. European Journal of Operational Research, 151(1), pp. 1-11.
• [22] GONZALEZ-FELIU, J., BASCK, P., MORGANTI, E., 2013. Urban logistics solutions and financing mechanisms: a scenario assessment analysis. European Transport/Trasporti Europei, 54 (11), pp. 1-16.
• [23] GONZALEZ-FELIU, J., TANIGUCHI, E., D’ARCIER, B. F., 2014. Financing urban logistics projects. In Sustainable Urban Logistics: Concepts, Methods and Information Systems. Springer, Berlin, Heidelberg, pp. 245-265.
• [24] HOFF, A. A., ANDERSSON, H., CHRISTIANSEN, M., HASLE, G., LØKKETANGEN, A., 2010. Industrial aspects and literature survey: Fleet composition and routing. In Computers & Operations Research, 37(12), pp. 2041-2061.
• [25] JOHNSON, R. et al., 2017. Web MVC framework. Available at: https://docs.spring.io/spring/docs/current/spring-framework-reference/html/mvc.html.
• [26] KUBEK, D., WIĘCEK, P., CHWASTEK, K., 2016. The Impact of Short Term Traffic Forecasting on the Effectiveness of Vehicles Routes Planning in Urban Areas. Transportation Research Procedia 18, pp. 172-179.
• [27] LAM, W. H. K., CHAN, K. S., SHI, J.W.Z., 2002. A traffic flow simulator for short-term travel time forecasting. Journal of Advanced Transportation 36 (3), pp. 265-291.
• [28] LAPORTE, G., 2009. Fifty years of vehicle routing. Transportation Science 43 (4), pp. 408-416.
• [29] LINDAWATI, VAN SCHAGEN, J., GOHM M., DE SOUZA, R., 2014. Collaboration in urban logistics: motivations and barriers. International Journal of Urban Sciences18 (2), pp. 278 – 290.
• [30] LINDHOLM, M., 2013. Urban freight transport from a local authority perspective – a literature review”. European Transport \ Trasporti Europei, 54.
• [31] LJUNGBERG, D., GEBRESENBET, G. 2004. Mapping out the potential for coordinated goods distribution in city centres: The case of Uppsala. International Journal of Transport Management, 2(3-4), pp. 161-172.
• [32] MARCIANI, M., COSSU, P., 2001. Decision Support System For Integrated Door-To-Door Delivery: Planning and Control in Logistic Chains. European Commission Information Society Technology, .
• [33] MARCUCCI, E., GATTA, V., 2013. Intra-agent heterogenity in urban freight distribution: the case of own-account operators. International Journal of Transport Economics, XL(2), pp. 267-286.
• [34] MARCUCCI, E., GATTA, V., 2016. How good are retailers in predicting transport providers’ preferences for urban freight policies? and vice versa?”. Transportation Research Procedia, 12, pp. 193–202.
• [35] MARCUCCI, E., GATTA, V., SCACCIA, L., 2015. Urban freight, parking and pricing policies: An evaluation from a transport providers’ perspective. Transportation Research Part A Policy Practice 74, pp. 239–249.
• [36] MCLEOD, F., CHERRETT, T., 2011. Loading bay booking and control for urban freight. In: International Journal of Logistics: Research and Applications,, 14(6), pp. 385-397.
• [37] MUÑUZURI, J., GROSSO, R., CORTÉS, P., GUADIX, J., 2013. Estimating the extra costs imposed on delivery vehicles using access time windows in a city. Computers, Environment and Urban Systems, 41, pp. 262-275.
• [38] MUSOLINO, G., POLIMENI, A., RINDONE, C., VITETTA A., 2019. Planning urban distribution center location with variable restocking demand scenarios: General methodology and testing in a medium-size town. Transport Policy. DOI: 10.1016/j.tranpol.2018.04.006.
• [39] MUSOLINO, G., POLIMENI, A., VITETTA, A., 2016. Freight vehicle routing with reliable link travel times: a method based on network fundamental diagram. Transportation Letters 14, pp. 1-13.
• [40] NUZZOLO, A., COMI, A., 2016. Individual utility-based path suggestions in transit trip planners. IET Intelligent Transport Systems, 10(4), pp. 219–226.
• [41] NUZZOLO, A., COMI, A., IBEAS, A., MOURA, J. L., 2016. Urban Freight Transport and City Logistics Policies: Indications from Rome, Barcelona and Santander. International Journal of Sustainable Transportation 10 (6), DOI: 10.1080/15568318.2015.1014778, Francis & Taylor, pp. 552-566.
• [42] NUZZOLO, A., COMI, A., ROSATI, L., 2015. Planning and managing on-street delivery bay system: a simulation-based approach. City Logistics and Freight Transport, Sustainable freight transport-are cities willing and ready for the recent advances in transport technologies? Algarve, Cluster 3 (Logistics and Freight) NECTAR.
• [43] PALACIOS-ARGÜELLO, L., GONZALEZ-FELIU, J., GONDRAN, N., BADEIG, F., 2018. Assessing the economic and environmental impacts of urban food systems for public school canteens: case study of Great Lyon Region, European Transport Research Review, 10(2), pp. 37-56.
• [44] PATIER, D., 2006. New concepts and organizations for the last mile: French experiments and their impacts. E. Taniguchi & R. G. Thompson (eds.) Recent Advances in City Logists, Elsevier, pp. 361-371.
• [45] PATIER, D., DAVID, B., CHALON, R., DESLANDRES, V., 2014. A New Concept for Urban Logistics Delivery Area Booking. Procedia - Social and Behavioral Sciences, 125, pp. 99-110.
• [46] PLUVINET, P., GONZALEZ-FELIU, J., D'ARCIER, B. F., GARDRAT, M., BASCK, P., AMBROSINI, C., ROUTHIER, J. L., 2012. Methodology, evaluation, simulation and assessment for the analysis of the deployment of DSB and EEIC systems of the FREILOT project Contribution of LET. Research report, Laboratoire d'Economie des Transports.
• [47] QURESHI, A. L., TANIGUCHI, E., THOMPSON, R. G., TEO, J. S. E., 2014. Application of exact route optimization for the evaluation of a city logistics truck ban scheme. International Journal of Urban Sciences18 (2), pp. 117 – 132.
• [48] RUSSO, F., COMI, A., 2016. Urban Freight Transport Planning towards Green Goals: Synthetic Environmental Evidence from Tested Results. Sustainability 2016, 8 (4), 381, DOI: 10.3390/su8040381.
• [49] RUSSO, F., COMI, A., 2017. From the analysis of European accident data to safety assessment for planning: the role of good vehicles in urban area. European Transport Research Review 9 (9), DOI:10.1007/s12544-017-0225-0, Springer Berlin Heidelberg, pp. 1-12.
• [50] STRAIGHTSOL, 2014. Strategies and Measures for Smarter Urban Freight Solutions. Deliverable D5.3 (Business models for innovative and sustainable urban-interurban transport).
• [51] SUGAR, 2011. City Logistics Best Practices: a Handbook for Authorities. www.sugarlogistics.eu.
• [52] SZCZUCKA-LASOTA, B., 2017. City logistics: influence of oversized road transport on urban development. Scientific Journal of Silesian University of Technology. Series Transport. 2017, 97, DOI: 10.20858/sjsutst.2017.97.14, pp. 157-165.
• [53] TELLUS, 2005. Final Evaluation Report Göteborg. Transport and Environment Alliance for Urban Sustainability (TELLUS). European Commission CIVITAS Initiative.
• [54] TOTH, P., VIGO, D. 2014. The vehicle routing problem. 2nd edition. SIAM, Philadelphia.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).