Advisory-Based Time Slot Management System to Mitigate Waiting Time at Container Terminal Gates

Nadi, Ali; Nugteren, Alex; Snelder, M.; Lint, Hans van; Rezaei, Jafar

doi:10.1177/03611981221090940

Cited by 4 publications

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The performance indicators were multiple (truck turn-around times, waiting times, turnaround time reliability and engine idling emissions). Nadi et al [32] introduced an advisory-based time slot management system (TSMS) to control truck arrivals. In it, discrete choice modelling is used to analyze the expectations and preferences of the truck operating companies.…”

Section: Literature Reviewmentioning

confidence: 99%

Connected Vehicles and Digital Infrastructures: A Framework for Assessing the Port Efficiency

2023

View full text Add to dashboard Cite

In logistics and freight distribution, scheduling and cost efficiency are two crucial issues for transportation companies that look with favour at the innovation introduced by Intelligent Transportation Systems (ITS). Moreover, an infrastructure level of service, safety and environmental defence are important for planners and public administrations. In this sense, terminal capacity and landside operations at the maritime infrastructure represent an interesting task for the community. Thus, this paper contributes to the research by: (i) proposing a generic framework for the integration of autonomous and connected vehicles with physical infrastructures; (ii) evaluating the opportunity to manage traffic arrivals according to vehicles’ priority and testing the effects of the introduction of a buffer zone outside the maritime port; (iii) improving efficiency and security within the terminal area by reducing waiting time and avoiding interference between flows. Moreover, the proposal for a discrete-event simulation model to assess terminal capacity in a ro-ro terminal is presented. Therefore, the paper contributes to some critical aspects towards sustainable development. First, regarding policy measures and actions, it proposes a valuable tool to assess what-if scenarios. Secondly, it represents a step forward in the process of smart corridor design for freight vehicles; in fact, it proposes a tool for managing landside operations at maritime ports and focuses on intervention in solving specific barriers and bottlenecks for freight who cross a ro-ro terminal daily. Furthermore, it offers a viable solution for managing connected vehicles in a context where full automation still needs to be achieved. The results evidenced the framework’s capability to deal with the traffic demand, thus improving the efficiency of the terminal landside operations.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Connected Vehicles and Digital Infrastructures: A Framework for Assessing the Port Efficiency

2023

View full text Add to dashboard Cite

show abstract

“…Several of them considered a single decision Nadi et al (2022),Xu et al (2022),Caballini et al (2020),Fan et al (2019),Do et al (2016),. and G.Chen et al (2013) studied inland truck appointments systems as a single decision in seaport container terminals Xu et al (2022).…”

mentioning

confidence: 99%

Optimization for Green Container Shipping: A Review and Future Research Directions

KURTULUŞ

2023

Marine Science and Technology Bulletin

View full text Add to dashboard Cite

Maritime freight transportation is one of the least emissions-producing transportation alternatives in terms of transported tonnage per distance. However, it produces a high amount of emissions as around 80% of international freight transportation is conducted through seas and 20% of maritime transportation is conducted through container shipping. This makes it crucial to reduce emissions in container shipping. In this regard, this study reviewed previous studies on the environmental optimization of container shipping and identified various future research directions. The results showed that in the sea segment of environmental optimization of container shipping, decisions which require further attention include resource allocation, emission reduction technology choice, disruption recovery, freight rate optimization, and shipment scheduling. The decisions that require future research in the port segment are related to internal transportation and handing operations in container terminals (i.e., yard crane deployment, yard truck deployment, yard truck scheduling, yard container stack allocation, yard container retrieval), renewable energy source installation, and emission reduction technology choice. Vessel scheduling and speed optimization decisions are the most frequently studied decisions in the sea segment, but they are rarely considered for inland shipping of containers. In the sea-port combined segment of container shipping, future studies are required in quay crane scheduling, vessel scheduling, container route allocation, ship route allocation vessel deployment, and emission reduction technology choice. The least studied decision in the door-to-door segment of container shipping includes hub location-allocation, empty container relocation, ship route allocation, vessel deployment, environmental taxation and subsidy scheme, emissions reduction technology choice, and speed optimization. It was also demonstrated that modeling of future studies should more frequently consider uncertainties and social sustainability parameters.

show abstract

A data-to-value framework for freight ITS: Insights from a living lab

Vanga,

Thiyagarajan,

Gelper

et al. 2024

Research in Transportation Business & Management

View full text Add to dashboard Cite

Advisory-Based Time Slot Management System to Mitigate Waiting Time at Container Terminal Gates

Cited by 4 publications

References 22 publications

Connected Vehicles and Digital Infrastructures: A Framework for Assessing the Port Efficiency

Connected Vehicles and Digital Infrastructures: A Framework for Assessing the Port Efficiency

Optimization for Green Container Shipping: A Review and Future Research Directions

A data-to-value framework for freight ITS: Insights from a living lab

Contact Info

Product

Resources

About