Bailey D, Solomon G (2004) Pollution prevention at ports: clearing the air. Environ Impact Assess Rev 24(7–8):749–774
Article
Google Scholar
Boer CA, Verbraeck A, Veeke HP (2002) Real-time control: the possible role of a backbone architecture in real-time control and emulation. In: Yücesan E, Chen CH, Snowdon JL, Charnes JM (eds) Proceedings of the 34th conference on winter simulation (WSC). San Diego, CA, pp 1675–1682
Böse JW (2011) General considerations on container terminal planning. In: Böse JW (ed) Handbook of terminal planning. Operations research/computer science interfaces series, vol 49. Springer, New York, NY, pp 3–22
Google Scholar
Cao JX, Lee DH, Chen JH, Shi Q (2010) The integrated yard truck and yard crane scheduling problem: Benders’ decomposition-based methods. Transp Res Part E: Logist Transp Rev 46(3):344–353
Article
Google Scholar
Caserta M, Schwarze S, Voß S (2011) Container rehandling at maritime container terminals. In: Böse JW (ed) Handbook of terminal planning. Operations research/computer science interfaces series, vol 49. Springer, New York, NY, pp 247–269
Google Scholar
Chen G, Govindan K, Yang Z (2013) Managing truck arrivals with time windows to alleviate gate congestion at container terminals. Int J Prod Econ 141(1):179–188
Article
Google Scholar
Chen L, Bostel N, Dejax P, Cai J, Xi L (2007) A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal. Eur J Oper Res 181(1):40–58
MathSciNet
Article
MATH
Google Scholar
Daduna JR, Stahlbock R, Voß S (2012) Transport systems for linking seaport container terminals and dedicated satellite terminals. Working paper, presented at the international conference on logistics and maritime systems (LOGMS), University of Bremen, Bremen, Germany
De Vries E (2013) Inter terminal transport – captured in an ontology. Master thesis, Delft University of Technology, Delft, Netherlands. http://repository.tudelft.nl/assets/uuid:00309485-e9c0-4590-a315-18dbfaa0656f/Inter_Terminal_Transport_captured_in_an_ontology.pdf
Dejax PJ, Crainic TG (1987) Survey paper—A review of empty flows and fleet management models in freight transportation. Transp Sci 21(4):227–248
Article
Google Scholar
Dekker S, Verhaeghe RJ (2008) Development of a strategy for port expansion: an optimal control approach. Marit Econ Logist 10(3):258–274
Article
Google Scholar
Dorndorf U, Schneider F (2010) Scheduling automated triple cross-over stacking cranes in a container yard. OR Spectr 32(3):617–632
Article
MATH
Google Scholar
Dudek G, Stadtler H (2005) Negotiation-based collaborative planning between supply chains partners. Eur J Oper Res 163(3):668–687
Article
MATH
Google Scholar
Duinkerken MB, Ottjes JA, Evers JJ, Kurstjens ST, Dekker R, Dellaert NP (1996) Simulation studies on inter terminal transport at the Maasvlakte. Tech. rep., TRAIL Research School, Delft University of Technology, Delft, Netherlands
Duinkerken MB, Dekker R, Kurstjens STGL, Ottjes JA, Dellaert NP (2006) Comparing transportation systems for inter-terminal transport at the Maasvlakte container terminals. OR Spectr 16(2):469–493
Article
MATH
Google Scholar
Evers JJ (2006) Real-time hiring of vehicles for container transport. Eur J Transp Infrastruct Res 6(2):173–198
MathSciNet
Google Scholar
Evers JJ, Koppers SA (1996) Automated guided vehicle traffic control at a container terminal. Transp Res Part A 30(1):21–34
Google Scholar
Fan L, Wilson WW, Dahl B (2012) Congestion, port expansion and spatial competition for US container imports. Transp Res Part E: Logist Transp Rev 48(6):1121–1136
Article
Google Scholar
Gerritse EJ (2014) Analysis for inter terminal transportation demand scenarios for the Maasvlakte I and II in 2030. Tech. rep., Delft University of Technology, Delft, Netherlands. http://inter-terminal.net/itt-reports/ITT%20-%20D1.1%20-%20Scenarios%20-%20Demand%20scenario%20analysis.pdf
Giuliano G, O’Brien T (2007) Reducing port-related truck emissions: the terminal gate appointment system at the ports of Los Angeles and Long Beach. Transp Res Part D: Transp Environ 12(7):460–473
Article
Google Scholar
Golden B, Raghavan S, Wasil E (eds) (2008) The vehicle routing problem: latest advances and new challenges. Operations research/computer science interfaces, vol 43. Springer, New York, NY
Grunow M, Günther HO, Lehmann M (2006) Strategies for dispatching AGVs at automated seaport container terminals. OR Spectr 28(4):587–610
Article
MATH
Google Scholar
Guan C, Liu RR (2009) Container terminal gate appointment system optimization. Marit Econ Logist 11(4):378–398
Article
Google Scholar
Gunasekaran A, Ngai EWT (2004) Information systems in supply chain integration and management. Eur J Oper Res 159(2):269–295
MathSciNet
Article
MATH
Google Scholar
Günther HO, Kim KH (2006) Container terminals and terminal operations. OR Spectr 28(4):437–445
Article
Google Scholar
Hansen I (1999) Track guided self-driven container wagon. http://www.google.com/patents/EP0903260A1?cl=en, eP Patent App.EP19970203673
Hansen I (2004) Automated shunting of rail container wagons in ports and terminal areas. Transp Plan Technol 27(5):385–401
Article
Google Scholar
Haralambides HE (2002) Competition, excess capacity, and the pricing of port infrastructure. Int J Marit Econ 4(4):323–347
Article
Google Scholar
He J, Zhang W, Huang Y, Yan W (2013) A simulation optimization method for internal trucks sharing assignment among multiple container terminals. Adv Eng Inform 27(4):598–614
Article
Google Scholar
Heilig L, Voß S (2014a) A cloud-based SOA for enhancing information exchange and decision support in ITT operations. In: González-Ramírez RG, Schulte F, Voß S, Ceroni Díaz JA (eds) Computational logistics. Lecture notes in computer science 8760. Springer, New York, NY, pp 112–131
Google Scholar
Heilig L, Voß S (2014b) Information systems and technologies in seaports: An overview. Tech. rep., Institute of Information Systems, University of Hamburg, Hamburg, Germany
Hendriks MPM, Armbruster D, Laumanns M, Lefeber E, Udding JT (2007a) On the benefit of modifying the strategic allocation of cyclically calling vessels for multi-terminal container operators. Tech. Rep. SE Report Nr. 2007–16, Eindhoven University of Technology, Eindhoven, Netherlands
Hendriks MPM, Armbruster D, Laumanns M, Lefeber E, Udding JT (2007b) Strategic allocation of cyclically arriving container vessels to inter-related terminals. In: Proceedings of the workshop on logistics networks. Dresden, Germany, pp 1–17
Hendriks MPM, Armbruster D, Laumanns M, Lefeber E, Udding JT (2012) Strategic allocation of cyclically calling vessels for multi-terminal container operators. Flex Serv Manuf J 24(3):248–273
Article
Google Scholar
Jansen R (2013) Determining the cost savings for the participants in a joint inter terminal transport system at the Port of Rotterdam. Master thesis, Erasmus University of Rotterdam, Rotterdam, Netherlands. http://inter-terminal.net/itt-reports/ITT%20-%20D3.1%20-%20Evaluation%20-%20Cost%20and%20benefits.pdf
Konings JW (1996) Integrated centres for the transshipment, storage, collection and distribution of goods: a survey of the possibilities for a high-quality intermodal transport concept. Transp Policy 3(1):3–11
Article
Google Scholar
Kovacs G, Spens K, Roso V (2008) Factors influencing implementation of a dry port. Int J Phys Distrib Logist Manag 38(10):782–798
Article
Google Scholar
Kurstjens STGL, Dekker R, Dellaert NP, Duinkerken MB, Ottjes JA, Evers JJ (1996) Planning of inter terminal transport at the Maasvlakte. Tech. rep, TRAIL Research School, Delft, Netherlands
Lau HYK, Zhao Y (2008) Integrated scheduling of handling equipment at automated container terminals. Int J Product Econ 112(2):665–682
Article
MATH
Google Scholar
Le-Anh T, De Koster M (2006) A review of design and control of automated guided vehicle systems. Eur J Oper Res 171(1):1–23
MathSciNet
Article
MATH
Google Scholar
Lee DH, Jin JG, Chen JH (2012) Terminal and yard allocation problem for a container transshipment hub with multiple terminals. Transp Res Part E: Logist Transp Rev 48(2):516–528
Article
Google Scholar
Lehnfeld J, Knust S (2014) Loading, unloading and premarshalling of stacks in storage areas: survey and classification. Eur J Oper Res 239(2):297–312
MathSciNet
Article
MATH
Google Scholar
Li L, Negenborn RR, De Schutter B (2015a) Intermodal freight transport planning—a receding horizon control approach. Trans Res Part C: Emerg Technol 60:77–95
Article
Google Scholar
Li S, Negenborn RR, Lodewijks G (2015b) A two phase approach for inter-terminal transport of inland vessels using preference-based coordination rules. In: Corman F, Voß S, Negenborn RR (eds) Computational logistics. Lecture notes in computer science 9335. Springer, Cham, Switzerland, pp 281–297
Google Scholar
Liu P (2013) Optimizing inter-terminal transportation at the Port of Rotterdam: an asset-light solution. Master thesis, Erasmus University of Rotterdam, Rotterdam, Netherlands. http://thesis.eur.nl/pub/20981/
Liu Q, Medda F (2009) Port infrastructure efficiency: the Europe-Mediterranean case. Int J Shipp Transp Logist 1(4):361–385
Article
Google Scholar
McGinley K (2014) Preparing port container terminals for the future: making the most of intelligent transport systems (ITS). In: Brebbia CA (ed) Urban transport XX. WIT Press, Southampton, UK, WIT transactions on the built environment, vol 138, pp 419–427
McGinley K, Murray MR (2012) Port technology of the future. In: International forum on shipping, ports and airports (IFSPA), Hong Kong, China, pp 289–296
Mishra N, Roy D, Van Ommeren JK (2013) A stochastic model for inter-terminal container transportation. Tech. Rep. Memorandum 2032, University of Twente, Twente, Netherlands
Nabais JL, Negenborn R, Carmona Benitez R, Ayala Botto M (2013) Setting cooperative relations among terminals at seaports using a multi-agent system. In: Proceedings of the 16th IEEE international conference on intelligent transportation systems (ITSC), The Hague, Netherlands, pp 1731–1736
Namboothiri R, Erera AL (2008) Planning local container drayage operations given a port access appointment system. Transp Res Part E: Logist Transp Rev 44(2):185–202
Article
Google Scholar
Ng WC (2005) Crane scheduling in container yards with inter-crane interference. Eur J Oper Res 164(1):64–78
MathSciNet
Article
MATH
Google Scholar
Nieuwkoop F, Corman F, Negenborn RR, Duinkerken MB, Van Schuylenburg M, Lodewijks G (2014) Decision support for vehicle configuration determination in inter terminal transport system design. In: Proceedings of the 11th IEEE international conference on networking, sensing and control (ICNSC). Miami, FL, pp 613–618
Notteboom TE (2006a) The time factor in liner shipping services. Marit Econ Logist 8(1):19–39
Article
Google Scholar
Notteboom TE (2006b) Traffic inequality in seaport systems revisited. J Transp Geogr 14(2):95–108
Article
Google Scholar
Notteboom TE, Winkelmans W (2001) Structural changes in logistics: how will port authorities face the challenge? Marit Policy Manag 28(1):71–89
Article
Google Scholar
Olivier D, Slack B (2006) Rethinking the port. Environ Plann A 38(8):1409–1427
Article
Google Scholar
Ottjes JA, Hengst S, Tutuarima WH (1994) A simulation model of a sailing container terminal service in the Port of Rotterdam. In: Proceedings of the conference on modelling and simulation (ESM). Barcelona, Spain, pp 876–880
Ottjes JA, Duinkerken MB, Evers JJM, Dekker R (1996) Robotised inter terminal transport of containers. In: Proceedings of the 8th european simulation symposium (ESS). Genua, Italy, pp 621–625
Ottjes JA, Veeke HP, Duinkerken MB (2002) Simulation studies of robotized multi terminal systems. In: Proceedings of the international congress on freight transport automation and multimodality (FTAM). Delft, Netherlands, pp 1–24
Ottjes JA, Veeke HP, Duinkerken MB, Rijsenbrij JC, Lodewijks G (2006) Simulation of a multiterminal system for container handling. OR Spectr 28(4):447–468
Article
MATH
Google Scholar
Parragh SN, Doerner KF, Hartl RF (2008) A survey on pickup and delivery problems—part I: transportation between customers and depot. J Betriebswirtschaft 58(1):21–51
Article
Google Scholar
Pavone M, Bisnik N, Frazzoli E, Isler V (2009) A stochastic and dynamic vehicle routing problem with time windows and customer impatience. Mob Netw Appl 14(3):350–364
Article
Google Scholar
Pillac V, Gendreau M, Guéret C, Medaglia AL (2013) A review of dynamic vehicle routing problems. Eur J Oper Res 225(1):1–11
MathSciNet
Article
MATH
Google Scholar
Posti A, Häkkinen J, Tapaninen U (2011) Promoting information exchange with a port community system—case Finland. Int Supply Chain Manag Collab Pract 4:455–473
Google Scholar
Qiu L, Hsu WJ, Huang SY, Wang H (2002) Scheduling and routing algorithms for AGVs: a survey. Int J Product Res 40(3):745–760
Article
MATH
Google Scholar
Regan AC, Golob TF (1999) Freight operators’ perceptions of congestion problems and the application of advanced technologies: Results from a 1998 survey of 1200 companies operating in California. Transp J 38:57–67
Google Scholar
Rijsenbrij JC, Pielage BA, Visser J (2006) State-of-the-art on automated (underground) freight transport systems for the EU-TREND project. Tech. rep., Delft University of Technology, Delft, Netherlands
Google Scholar
Roso V (2007) Evaluation of the dry port concept from an environmental perspective: a note. Transp Res Part D: Transp Environ 12(7):523–527
Article
Google Scholar
Roso V, Woxenius J, Lumsden K (2009) The dry port concept: connecting container seaports with the hinterland. J Transp Geogr 17(5):338–345
Article
Google Scholar
Saanen YA, Valkengoed MV (2005) Comparison of three automated stacking alternatives by means of simulation. In: Proceedings of the 37th winter simulation conference (WSC). Orlando, FL, pp 1567–1576
Schroër H, Corman F, Duinkerken M, Negenborn R, Lodewijks G (2014) Evaluation of inter terminal transport configurations at Rotterdam Maasvlakte using discrete event simulation. In: Proceedings of the 46th winter simulation conference (WSC). Savannah, GA, pp 1771–1782
Stahlbock R, Voß S (2008) Vehicle routing problems and container terminal operations—an update of research. In: Golden B, Raghavan S, Wasil E (eds) The vehicle routing problem: latest advances and new challenges. Operations research/computer science interfaces, vol 43. Springer, New York, NY, pp 551–589
Chapter
Google Scholar
Steenken D, Henning A, Freigang S, Voß S (1993) Routing of straddle carriers at a container terminal with the special aspect of internal moves. OR Spektr 15:167–172
Article
Google Scholar
Steenken D, Stahlbock R, Voß S (2004) Container terminal operation and operations research—a classification and literature review. OR Spectr 26(1):3–49
Article
MATH
Google Scholar
Tierney K, Voß S, Stahlbock R (2014) A mathematical model of inter-terminal transportation. Eur J Oper Res 235(2):448–460
MathSciNet
Article
MATH
Google Scholar
United Nations (2002) Value-added services of logistics centres in port areas. In: Commercial development of regional ports as logistics centres, pp 19–34
Van Baalen P, Zuidwijk R, Van Nunen J (2009) Port inter-organizational information systems: capabilities to service global supply chains. Found Trends Technol Inf Oper Manag 2(2–3):81–241
Google Scholar
Van den Berg S (2013) Inter-terminal transport with uncertain connections. Bachelor thesis, Erasmus University of Rotterdam, Rotterdam, Netherlands. thesis.eur.nl/pub/13869/vandenBerg.pdf
Van Reeven P (2010) The effect of competition on economic rents in seaports. J Transp Econ Policy 44(1):79–92
Google Scholar
Vis IFA (2006) Survey of research in the design and control of automated guided vehicle systems. Eur J Oper Res 170(3):677–709
MathSciNet
Article
MATH
Google Scholar
Vis IFA, De Koster R (2003) Transshipment of containers at a container terminal: an overview. Eur J Oper Res 147:1–16
Article
MATH
Google Scholar
Vis IFA, Harika I (2004) Comparison of vehicle types at an automated container terminal. OR Spectr 26(1):117–143
Article
MATH
Google Scholar
Vis IFA, De Koster R, Roodbergen KJ, Peeters LWP (2001) Determination of the number of automated guided vehicles required at a semi-automated container terminal. J Oper Res Soc 52(4):409–417
Article
MATH
Google Scholar
Webster J, Watson RT (2002) Analyzing the past to prepare for the future: writing a literature review. Manag Inf Syst Q 26(2):13–23
Google Scholar
Wiegmans BW, Hoest AVD, Notteboom TE (2008) Port and terminal selection by deep-sea container operators. Marit Policy Manag 35(6):517–534
Article
Google Scholar
Wilmsmeier G, Hoffmann J, Sanchez RJ (2006) The impact of port characteristics on international maritime transport costs. Res Transp Econ 16:117–140
Article
Google Scholar
Xin J, Negenborn RR, Lodewijks G (2014) Energy-aware control for automated container terminals using integrated flow shop scheduling and optimal control. Trans Res Part C: Emerg Technol 44:214–230
Article
Google Scholar
Yang CH, Choi YS, Ha TY (2004) Simulation-based performance evaluation of transport vehicles at automated container terminals. OR Spectr 26(2):149–170
Article
MATH
Google Scholar
Zhang J, Ioannou PA, Chassiakos A (2006) Automated container transport system between inland port and terminals. ACM Trans Model Comput Simul 16(2):95–118
Article
Google Scholar
Zheng H, Negenborn RR, Lodewijks G (2015) Cooperative distributed collision avoidance based on ADMM for waterborne AGVs. In: Corman F, Voß S, Negenborn RR (eds) Computational logistics. Lecture notes in computer science 9335. Springer, Cham, Switzerland, pp 181–194
Google Scholar