Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Green vehicle technology to enhance the performance of a European port: a simulation model with a cost-benefit approach

Kavakeb, S, Nguyen, TT, McGinley, K, Yang, Z, Jenkinson, I and Roisin, M (2015) Green vehicle technology to enhance the performance of a European port: a simulation model with a cost-benefit approach. Transportation Research, Part C: Emerging Technologies, 60. pp. 169-188. ISSN 1879-2359

TRC-D-15-00025R2_manuscript.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (4MB) | Preview


In this paper, we study the impact of using a new intelligent vehicle technology on the performance and total cost of a European port, in comparison with existing vehicle systems like trucks. Intelligent autonomous vehicles (IAVs) are a new type of automated guided vehicles (AGVs) with better maneuverability and a special ability to pick up/drop off containers by themselves. To identify the most economical fleet size for each type of vehicle to satisfy the port's performance target, and also to compare their impact on the performance/cost of container terminals, we developed a discrete-event simulation model to simulate all port activities in micro-level (low-level) details. We also developed a cost model to investigate the present values of using two types of vehicle, given the identified fleet size. Results of using the different types of vehicles are then compared based on the given performance measures such as the quay crane net moves per hour and average total discharging/loading time at berth. Besides successfully identifying the optimal fleet size for each type of vehicle, simulation results reveal two findings: first, even when not utilising their ability to pick up/drop off containers, the IAVs still have similar efficacy to regular trucks thanks to their better maneuverability. Second, enabling IAVs ability to pick up/drop off containers significantly improves the port performance. Given the best configuration and fleet size as identified by the simulation, we use the developed cost model to estimate the total cost needed for each type of vehicle to meet the performance target. Finally, we study the performance of the case study port with advanced real-time vehicle dispatching/scheduling and container placement strategies. This study reveals that the case study port can greatly benefit from upgrading its current vehicle dispatching/scheduling strategy to a more advanced one.

Item Type: Article
Subjects: T Technology > TC Hydraulic engineering. Ocean engineering
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Divisions: Maritime & Mechanical Engineering (merged with Engineering 10 Aug 20)
Publisher: Elsevier
Date Deposited: 24 Aug 2015 09:19
Last Modified: 04 Sep 2021 14:02
DOI or ID number: 10.1016/j.trc.2015.08.012
URI: https://researchonline.ljmu.ac.uk/id/eprint/1894
View Item View Item