Route Optimization for Autonomous Container Truck Based on Rolling Window

Huang, Qi; Zheng, Gui-Lin

doi:10.5772/64116

Cited by 6 publications

(5 citation statements)

References 20 publications

(25 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The research covers a variety of aspects including application scenarios, cost and benefits associated with the use of autonomous vehicles (Muratori et al , 2017). Most of the benefits are described in terms of time efficiency (Ross and Guhathakurta, 2017), low carbon emissions leading to better and sustainable transport (Liang et al , 2016a, b), cost reductions (Huang and Zheng, 2016) and efficiency of transport operations at terminals (Ventura et al , 2013). Nevertheless, the economic benefits depend on the dynamic outlook of platooning and options for drivers to rest during platooning (Larsen et al , 2019).…”

Section: Analysis Of the Technologiesmentioning

confidence: 99%

The impact of emerging and disruptive technologies on freight transportation in the digital era: current state and future trends

Dong¹,

Akram²,

Andersson³

et al. 2021

IJLM

View full text Add to dashboard

PurposeWith various challenges in the digital era, stakeholders are expressing growing interests in understanding the impact of emerging and disruptive technologies on freight transportation. This paper provides a systematic literature review of the current state of affairs as well as future trends and aims to support stakeholders' decision-making in logistics management in the era of disruptive technologies.Design/methodology/approachSeveral recent and representative articles from academic, industrial and governmental perspectives were investigated to set the scene for this research and to serve as a baseline for electing nine emerging technologies, which were then used to conduct a systematic literature review covering the literature within the area during the past twelve years.Findings3D printing, artificial intelligence, automated robots, autonomous vehicles, big data analytics, blockchain, drones, electric vehicles and the Internet of Things were identified as the emerging technologies. The current state of existing research and potential future opportunities were analyzed.Research limitations/implicationsSince the potential literature body is almost impossible to fully cover, a tradeoff between the number of emerging technologies and the related literature reviewed has been performed. However, the paper provides a novel approach to select the emerging and disruptive technologies and a systematic literature review to fill the identified research gap in the related literature.Practical implicationsThe research support various stakeholders to better capture the current status of and the future opportunities in freight transportation and gain a clearer understanding of the disruptive technologies as well as to guide them in how to deploy these initiatives in future decision-making.Originality/valueBy providing a systematic literature review on the trends, themes and research opportunities in the era of disruptive technologies, the papers bring about broad and comprehensive review on the impact of disruptive technologies on logistics and transportation as well as opportunities to support management decision support in the logistics industry.

show abstract

Section: Analysis Of the Technologiesmentioning

confidence: 99%

The impact of emerging and disruptive technologies on freight transportation in the digital era: current state and future trends

Dong¹,

Akram²,

Andersson³

et al. 2021

IJLM

View full text Add to dashboard

show abstract

“…When it comes to use pervasive technologies like IoT and Cloud computing in container terminal, very few research work has been proposed in literature, e.g. (Lee et al, 2011), (Ngai et al, 2011), (Shi et al, 2011, (Chen et al, 2013), (Choe et al, 2016), (Huang and Zheng, 2016), (Tsertou et al, 2016), (Li et al, 2018, (Heilig et al, 2017b) and(Ndraha et al, 2018). All of the studies are theoretical, such as reviews on potential application of IoT in Port (Shi et al, 2011), (Lee et al, 2011) or in cold food chain shipment (Ndraha et al, 2018).…”

Section: Internet Of Thing and Cloud Computingmentioning

confidence: 99%

A multi-agent system with blockchain for container stacking and dispatching

Henesey¹,

Yulia²,

Mahwish³

2019

Proceedings of the 21st International Conference on Harbor, Maritime and Multimodal Logistic Modeling &Amp; Simulation (HMS 201

View full text Add to dashboard

Port Logistical Supply chains play a very important role in society. Their complex and adaptive behaviours promote the suggested applications of combining a multiagent system with blockchain for solving complex problems. Several technologies have been proven positively to work in logistics, however the concept of combining converging technologies such as blockchain with deep reinforcement multi agent is viewed as a novel approach to solving the complexity that is associated with many facets of logistics. A simulator was developed and tested for the problem of container stacking. The simulation results indicate a more robust approach to currently used tools and methods.

show abstract

“…In order to increase the performance quality of the algorithm, many researchers have proposed some improvements. Dong et al adjusted the heuristic information in real time during the searching process 20 ; Zaho et al designed two fuzzy controllers to optimize three parameters a, b and g and produced a new evaluation criterion to select the best path 21 ; Zaho and Fu adopted an improved two-way parallel searching strategy to accelerate the searching speed and used a new method that rationally distributes the initial pheromone to increase the convergence speed 22 ; Châari et al presented a new hybrid ant colony-genetic algorithm approach for fast path selection and global solution 23 ; Huang and Zheng proposed an improved ant colony algorithm based on rolling window to show good analytical and disposing ability of dead ends in the path planning process 24 ; and Cheng et al combined ant colony algorithm with simulated annealing algorithm to improve the pheromone updating method. 25 According to many studies, the transition rule in the ant colony algorithm is the key to find the shortest path; in this article, we improve this transition rule by assigning a stimulating probability (sp) that helps the ant in choosing a safe grid with much exits towards the target, and we make it adaptable for large scale based on global heuristic information; also, we establish a modified pheromone updating rule and a new dynamic evaporation strategy to increase the global search capability and to accelerate the convergence.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mobile robot path planning using an improved ant colony optimization

Akka

Khaber

2018

International Journal of Advanced Robotic Systems

View full text Add to dashboard

Ant colony algorithm is an intelligent optimization algorithm that is widely used in path planning for mobile robot due to its advantages, such as good feedback information, strong robustness and better distributed computing. However, it has some problems such as the slow convergence and the prematurity. This article introduces an improved ant colony algorithm that uses a stimulating probability to help the ant in its selection of the next grid and employs new heuristic information based on the principle of unlimited step length to expand the vision field and to increase the visibility accuracy; and also the improved algorithm adopts new pheromone updating rule and dynamic adjustment of the evaporation rate to accelerate the convergence speed and to enlarge the search space. Simulation results prove that the proposed algorithm overcomes the shortcomings of the conventional algorithms.

show abstract

Route Optimization for Autonomous Container Truck Based on Rolling Window

Cited by 6 publications

References 20 publications

The impact of emerging and disruptive technologies on freight transportation in the digital era: current state and future trends

The impact of emerging and disruptive technologies on freight transportation in the digital era: current state and future trends

A multi-agent system with blockchain for container stacking and dispatching

Mobile robot path planning using an improved ant colony optimization

Contact Info

Product

Resources

About