Masterplanning at the Port of Dover: The Use of Discrete-Event Simulation in Managing Road Traffic

The Port of Dover is Europe’s busiest ferry port, handling £119 billion or 17% of the UK’s annual trade in goods. The Port is constrained geographically to a small area and faces multiple challenges, both short- and long-term, with managing the flow of five million vehicles per year to/from mainland Europe. This article describes some of the work that the Port is doing to minimize the impact of port road traffic on the local community and environment using discrete-event simulation modeling. Modeling is particularly valuable in identifying where future bottlenecks are likely to form within the Port due to projected growth in freight traffic and comparing the effectiveness of different interventions to cope with growth. One of our key findings is that space which can be used flexibly is far more valuable than dedicated space. This is supported by the much greater reduction in traffic congestion that is expected to be achieved given a 10% increase in freight traffic by reallocating space at the front of the system to temporarily hold vehicles waiting to pass through border control and check-in compared to extending the amount of space for ferry embarkation at the rear of the system. The importance of flexible space has implications for port design that can be applied more broadly. Modeling is also useful in identifying critical thresholds for vehicle processing times that would cause the system to become overwhelmed. Increasing the check-in time by just three to five minutes, for example, would completely exceed the Port’s capacity and produce indefinite queueing. This finding has important implications for Brexit planning. From a wider context, the research presented here nicely illustrates how simulation can be used to instill more evidence-based thinking into port masterplanning and support “green port” and other corporate sustainability initiatives.

[1]  Zaili Yang,et al.  A novel model for the quantitative evaluation of green port development – A case study of major ports in China , 2017, Transportation Research Part D: Transport and Environment.

[2]  Anthony Kenneth Charles Beresford,et al.  Seaport research: a structured literature review on methodological issues since the 1980s , 2011 .

[3]  Simona Sacone,et al.  The port as a system of systems: A System Dynamics simulation approach , 2012, 2012 7th International Conference on System of Systems Engineering (SoSE).

[4]  R. J. Love,et al.  PORTSIM 5: Modeling from a seaport level , 2004 .

[5]  Uwe Aickelin,et al.  Validation of a microsimulation of the Port of Dover , 2012, J. Comput. Sci..

[6]  Maria Paola Scaparra,et al.  Traffic Modelling at the Port of Dover , 2018 .

[7]  Kenn Steger-Jensen,et al.  Application of a Sustainability Model for Assessing the Relocation of a Container Terminal: A Case Study of Kristiansand Port , 2018 .

[8]  Michael G.H. Bell,et al.  A review of container terminal simulation models , 2011 .

[9]  Mikhail Kondratyev An object-oriented approach to port activity simulation , 2015, Int. J. Simul. Process. Model..

[10]  Kannan Govindan,et al.  Disruption management for truck appointment system at a container terminal: A green initiative , 2016, Transportation Research Part D: Transport and Environment.

[11]  Yulia Panova,et al.  Dynamics of Russian dry ports , 2011 .

[12]  H. Ligteringen,et al.  Implications of an uncertain future for port planning , 2010 .

[13]  Branislav Dragović,et al.  Simulation modelling in ports and container terminals: literature overview and analysis by research field, application area and tool , 2017 .

[14]  Kristin Ystmark Bjerkan,et al.  Reviewing tools and technologies for sustainable ports: Does research enable decision making in ports? , 2019, Transportation Research Part D: Transport and Environment.

[15]  Armando Cartenì,et al.  Tactical and strategic planning for a container terminal: Modelling issues within a discrete event simulation approach , 2012, Simul. Model. Pract. Theory.

[16]  Kap Hwan Kim,et al.  Container Terminal Operation: Current Trends and Future Challenges , 2015 .

[17]  Jason R. W. Merrick,et al.  A traffic density analysis of proposed ferry service expansion in San Francisco Bay using a maritime simulation model , 2003, Reliab. Eng. Syst. Saf..

[18]  G Ceballos,et al.  QUEUE ANALYSIS AT TOLL AND PARKING EXIT PLAZAS: A COMPARISON BETWEEN MULTI-SERVER QUEUING MODELS AND TRAFFIC SIMULATION , 2004 .

[19]  Emrullah Demirci Simulation Modelling and Analysis of a Port Investment , 2003, Simul..

[20]  Thomas Spyrou,et al.  Ferry Traffic in the Aegean Islands: A Simulation Study , 1996 .

[21]  Paul R. Steffens,et al.  Valuing Technology Investments: Use Real Options Thinking But Forget Real Options Valuation , 2007 .

[22]  Warren E. Walker,et al.  Flexibility in Port Planning and Design , 2010, European Journal of Transport and Infrastructure Research.

[23]  Johan Woxenius,et al.  The dry port concept: connecting container seaports with the hinterland , 2009 .

[24]  Alfredo Garro,et al.  Agent-based simulation for the evaluation of a new dispatching model for the straddle carrier pooling problem , 2015, Simul..

[25]  Kap Hwan Kim,et al.  Container terminals and terminal operations , 2006, OR Spectr..

[26]  Ioannis N. Lagoudis,et al.  Port Investment Strategies under Uncertainty: The Case of a Southeast Asian Multipurpose Port1 , 2014 .

[27]  T. C. Smout Learning From Norway , 2005 .

[28]  Bengt Järhult [Learning from Norway]. , 2011, Lakartidningen.

[29]  Jack P. C. Kleijnen,et al.  EUROPEAN JOURNAL OF OPERATIONAL , 1992 .

[30]  Stefan Voß,et al.  Container terminal operation and operations research - a classification and literature review , 2004, OR Spectr..

[31]  Stefan Voß,et al.  Operations research at container terminals: a literature update , 2007, OR Spectr..

[32]  Fernando Bernardi de Souza,et al.  Theory of constraints: review and bibliometric analysis , 2018, Int. J. Prod. Res..

[33]  Allen J. Scott,et al.  Applications of Queueing Theory , 1972 .

[34]  Anthony Kenneth Charles Beresford,et al.  Port sustainability and performance: A systematic literature review , 2019, Transportation Research Part D: Transport and Environment.

[35]  Sigrid Knust,et al.  Loading, unloading and premarshalling of stacks in storage areas: Survey and classification , 2014, Eur. J. Oper. Res..

[36]  Uwe Aickelin,et al.  Extending a Microsimulation of the Port of Dover , 2013, ArXiv.

[37]  Gitakrishnan Ramadurai,et al.  Simulation of truck congestion in Chennai port , 2015, 2015 Winter Simulation Conference (WSC).