Automation of the Road Gate Operations Process at the Container Terminal—A Case Study of DCT Gdańsk SA

Abstract

The future increased terminal capacity will result in more container movement through the road complex and rail siding, which are one of the most critical areas (potential bottlenecks) in the container terminal. Truck turnaround time is one of the major factors that customers take into account while deciding how many container volumes they will handle through the container terminal. To enable to optimize increased traffic with future container terminal development, as well as increase gates throughput, and as a consequence, encourage more volume and increase customer satisfaction, Deepwater Container Terminal Gdańsk SA plans to reorganize and automatize the gate operation process. Gate automation includes supply, installation, commissioning, implementation, and maintenance of software and hardware that would allow automatizing the handling of trucks at container terminal gates by using OCR (optical camera recognition) technology, LPR (license plate recognition) systems and self-service kiosk for truck drivers.

Reduction of exceeding the guaranteed service time for external trucks at the DCT Gdańsk container terminal using a six sigma framework

“…Further analysis forced the preparation and implementations of the long-term plan with an additional improvement of the gate operations, i.e. vehicle booking system and gate automation for supporting the predicted for the second half of 2016 year and beyond, increased container road gate volumes (Moszyk et al , 2021).…”

“…Over the past few years, the road gate at the DCT Gda nsk has undergone various modifications, related to the servicing of external trucks at the entrance and exit of the terminal. Nowadays, a new gate automation system uses a combination of smart card technology, optical character recognition cameras and unmanned driver kiosks to allow registered drivers to go through the terminal's gates with no documentation flow or delays (Moszyk et al, 2021). The purpose of this paper is to describe and examine the implemented reorganizations and modernizations to the road gate operations at the DCT Gda nsk which had an impact on the reduction of the average amount of exceeded guaranteed service time for external trucks in DCT Gda nsk.…”

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

“…These include average and standard deviation of the truck queuing times, server utilization, maximum queue length, gate service time, gate utilization rates, and truck turnaround time [5,21,25]. Kim et al [26] highlighted the waiting time of heavy vehicles as a key customer service indicator; however, truck turnaround time is considered as the most telling land-side performance metric [27,28]. Brooks and Schellinck [29,30] emphasized the need for reliability measures in port services, particularly regarding truck turnaround times, a gap that still exists in current research.…”

Simulation-Based Approach to a More Efficient Handling Strategy for a Container Terminal Storage Yard: Case Study of the Baltic Hub Container Terminal

“…Enhancing ship productivity does not hinge solely on expanding the number or speed of the transport vehicles in the port, since the likelihood of congestion around the cranes and within the yard increases more than proportionally to the number of vehicles or their speed. Hence, the development of an optimisation system must also consider the minimisation of traffic congestion, as described in [9,10], as this contributes a major proportion of the pollutant emissions in terminals [11]. Moreover, various means of transportation and strategies for allocating vehicles to cranes are used in the port.…”