Reducing truck congestion at ports – classification and trends

Lange, Ann-Kathrin; Schwientek, Anne Kathrina; Jahn, Carlos

doi:10.15480/882.1484

Cited by 4 publications

(5 citation statements)

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“…Beyond enhancing operational efficiency and gate infrastructure, as mentioned before, a major focus in the literature is on managing truck arrivals [16,17]. The literature emphasizes managing truck arrivals to improve port operational efficiency, especially in noncontainerized ports, where unpredictable arrivals and long waiting times are common due to the challenges of handling bulk materials.…”

Section: Literature Reviewmentioning

confidence: 99%

Port Access Fluidity Management during a Major Extension Project: A Simulation-Based Case Study

Ben Daya,

Audy

2024

Sustainability

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The increasing demand for freight services and the use of larger vessels to meet this demand has led to challenges related to storage space and logistics activities, highlighting the need for improvements in port infrastructure for better logistics management. At a crucial phase in its growth, the Port of Trois-Rivières in Canada is planning a major expansion, including the construction of a new terminal to enhance its hosting capacities and freight services. This expansion faces potential access congestion problems during the planned construction, exacerbated by the port’s urban setting. In response to the needs identified by the port authorities for this event, the study’s objective is to assess the implications of increased construction and freight truck flows on access gate fluidity and the impact of additional access infrastructure investment to mitigate potential congestion. These evaluations aim to define effective access management strategies throughout the construction period of the new terminal. To address these complexities, our approach is based on scenario analysis in variants co-constructed with the partner. These scenarios are evaluated using simulation models, configured according to parameters calibrated with a granularity that allows congestion detection. The results enabled an evaluation of the capability of existing and potential gates to manage access. Subsequently, recommendations were shaped in accordance with the expected objectives to manage access traffic effectively. These recommendations concern the optimization of construction activity planning, the layout and planning of access, and the importance of enhanced collaboration between municipal and port authorities for more controlled road traffic management. Recognizing the importance of synchromodality, road network centrality management, and the outsourcing of capacity through inter-port cooperation and with dry ports to manage congestion, these tools will be discussed in this work. The study proposes an approach that reconciles scientific rigor with the implementation constraints of the proposed solutions, allowing this study wider applicability in various port contexts facing challenges in this field of study.

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Section: Literature Reviewmentioning

confidence: 99%

Port Access Fluidity Management during a Major Extension Project: A Simulation-Based Case Study

Ben Daya,

Audy

2024

Sustainability

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“…The unsystematic arrival of trucks at seaports significantly contributes to access gate congestion [10]. In an extensive literature review, exploring truck congestion at ports [11] identified key strategies for reducing congestion ranging from infrastructure optimization to managing truck arrivals. Dragovic et al [5] identified 226 articles on simulation in the port industry, highlighting the extensive use of discrete event simulation, particularly in containerized ports, aligning with [11] findings on the need for varied congestion mitigation methods.…”

Section: In-depth Analysis Of Strategies and Simulation Insights For ...mentioning

confidence: 99%

“…In an extensive literature review, exploring truck congestion at ports [11] identified key strategies for reducing congestion ranging from infrastructure optimization to managing truck arrivals. Dragovic et al [5] identified 226 articles on simulation in the port industry, highlighting the extensive use of discrete event simulation, particularly in containerized ports, aligning with [11] findings on the need for varied congestion mitigation methods. Vadlamudi [12] and others advocate for a broadened scope of research, considering environmental impacts and different terminal types, echoing with a holistic approach to sustainable mobility and congestion challenges.…”

Section: In-depth Analysis Of Strategies and Simulation Insights For ...mentioning

confidence: 99%

Port Expansion Project and Sustainable Mobility: Secure Road Transport Fluidity at Access Gates Through Simulation

Ben Daya,

Audy

2023

Preprint

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In response to growing industrial demands, necessitated by larger ships and increased cargo volumes, many port authorities worldwide are undertaking a significant expansion of their infrastructure to increase their capacity. Significant expansion raises challenges such as potential congestion and environmental concerns, especially for port located in urban area as the case study explored in this paper. To address these issues, the study employs a combination of scenario analysis developed in collaboration with the port authority and logistic system simulation. This approach assesses the capacity of existing access gates to handle the increased trucking traffic and optimizes the unloading process of construction trucks at a new terminal. Key findings suggest that while the current gate capacities are adequate, optimizing unloading times at the new terminal is critical to prevent road congestion in urban area before the gate and reduce negative impacts such as sound and atmospheric pollution. The study advocates for an appointment system during peak hours to manage traffic flow effectively and underscores the importance of collaboration between the city and port authorities in managing truck traffic to mitigate congestion on the city side. Nonetheless, the study recognizes certain constraints, including the incomplete evaluation of the influence of intermodal transport on truck traffic. Furthermore, the study emphasizes the need for future research to consider the correlation between vehicle numbers and service levels, aiming to effectively adjust the time in the system.

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“…The increase in maritime trade volume, the onset of the COVID-19 pandemic, and the expansion of container vessels have all played a role in the increased variability in land-based container handling. As a result, there has been a rise in congestion and operational inefficiencies within CTs [2,3]. The escalating congestion observed in CTs has a detrimental impact on productivity and the ability to adhere to schedules, consequently causing a ripple effect that disrupts the operational plans of other vessels [4].…”

Section: Introductionmentioning

confidence: 99%

A Predictive Discrete Event Simulation for Predicting Operation Times in Container Terminal

Park,

Kim,

Bae

2024

IEEE Access

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Container terminals (CTs) play a crucial role within the global supply chain in the context of the global container transportation business. The primary obligation associated with these terminals involves ensuring the punctual execution of primary vessel operations, while strictly adhering to the Estimated Time of Departure (ETD) for vessels. To accomplish this goal, it is crucial to develop rigorous and exact operating strategies. Nonetheless, the accurate prediction of operation times in CT presents a significant challenge due to the concurrent involvement of various Container Handling Equipment (CHE) and the occurrence of unforeseen situations. To address this issue, this study proposes a novel approach called Predictive Discrete Event Simulation (PDES) that utilizes data collected from CT to predict the operation times. The PDES is an advanced approach that builds upon the widely used Discrete Event Simulation (DES) technique in the field of simulations. It is specifically designed to provide precise predictions of the operation times in CTs, where multiple events take place concurrently. The PDES in this paper aims to overcome the shortcomings of current simulation-based approaches for prediction in CT. These approaches often rely on predefined task sequences and assumed time for job handling time of CHE in their scenarios, which can result in reduced accuracy when predicting operation times. Through the resolution of these issues, the proposed PDES exhibits the capacity to improve predictive performance. To enhance the predictive performance of operation times in CTs through PDES, two approaches are introduced. The first approach entails the application of Support Vector Machine (SVM) algorithms for the purpose of predicting operation times. This approach is further augmented by integrating it with DES to improve the accuracy of predictive performance. The second approach involves predicting by simulating real-world operational scenarios in CTs using algorithms for CHE assignment. The predictive performance of the proposed PDES is assessed through the utilization of data gathered from Busan Port Terminal (BPT) in South Korea, demonstrating superior performance compared to alternative prediction approaches.

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Reducing truck congestion at ports – classification and trends

Cited by 4 publications

References 0 publications

Port Access Fluidity Management during a Major Extension Project: A Simulation-Based Case Study

Port Access Fluidity Management during a Major Extension Project: A Simulation-Based Case Study

Port Expansion Project and Sustainable Mobility: Secure Road Transport Fluidity at Access Gates Through Simulation

A Predictive Discrete Event Simulation for Predicting Operation Times in Container Terminal

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