The Management of Marine Traffic, A Survey of Current and Possible Future Measures

1995 ◽  
Vol 48 (1) ◽  
pp. 53-69 ◽  
Author(s):  
Thomas Degré
Keyword(s):  
Traffic Management ◽  
Considerable Increase ◽  
Traffic Monitoring ◽  
Maritime Transport ◽  
General Description ◽  
Knowledge Based ◽  
Maritime Traffic ◽  
Marine Traffic ◽  
Real Time Information ◽  
Time Information

The risks involved in maritime transport are very much greater now than was formerly the case. This has been accompanied by a considerable increase in the damage resulting from certain accidents. Maritime traffic management has been made necessary not only for reasons of safety but also productivity and comprises two main types of measure: first, laying down and enforcing suitable regulations and secondly, providing navigators with real time information which is not available to them on board from the Vessel Traffic Services (VTS).Section 2 of this paper is a general description of the techniques used in maritime traffic management and an account of possibilities for the future. Section 3 describes a feasibility study for a traffic monitoring aid system based on VTS and using a knowledge based system.This paper is based on one which was first published in the journal, Recherche Transports Sécurité, issue no. 9, 1993.

Telecommunications- and Information Technology–Inspired Analyses: Review of an Intelligent Transportation Systems Experience

2017 ◽  
Vol 2658 (1) ◽  
pp. 44-55 ◽  
Author(s):  
Yupo Chan
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Real Time ◽  
Traffic Management ◽  
Transportation Systems ◽  
Lessons Learned ◽  
Connected Vehicles ◽  
Ongoing Research ◽  
Real Time Information ◽  
Time Information

This paper reviews both the author’s experience with managing highway network traffic on a real-time basis and the ongoing research into harnessing the potential of telecommunications and information technology (IT). On the basis of the lessons learned, this paper speculates about how telecommunications and IT capabilities can respond to current and future developments in traffic management. Issues arising from disruptive telecommunications technologies include the ready availability of real-time information, the crowdsourcing of information, the challenges of big data, and the need for information quality. Issues arising from transportation technologies include autonomous vehicles and connected vehicles and new taxi-like car- and bikesharing. Illustrations are drawn from the following core functions of a traffic management center: ( a) detecting and resolving an incident (possibly through crowdsourcing), ( b) monitoring and forecasting traffic (possibly through connected vehicles serving as sensors), ( c) advising motorists about routing alternatives (possibly through real-time information), and ( d) configuring traffic control strategies and tactics (possibly though big data). The conclusion drawn is that agility is the key to success in an ever-evolving technological scene. The solid guiding principle remains innovative and rigorous analytical procedures that build on the state of the art in the field, including both hard and soft technologies. The biggest modeling and simulation challenge remains the unknown, including such rapidly emerging trends as the Internet of things and the smart city.

scholarly journals Fast and Improved Real-Time Vehicle Anti-Tracking System

2020 ◽  
Vol 10 (17) ◽  
pp. 5928
Author(s):  
Olivier Oheka ◽  
Chunling Tu
Keyword(s):  
Real Time ◽  
Traffic Management ◽  
Tracking System ◽  
Adaboost Algorithm ◽  
Background Removal ◽  
Driving Assistance ◽  
Unique Approach ◽  
Computer Vision Systems ◽  
Real Time Information ◽  
Time Information

Safety on roads and the prevention of accidents have become major problems in the world. Intelligent cars are now a standard in the future of transportation. Drivers will benefit from the increased support for driving assistance. This means relying on the development of integrated systems that can provide real-time information to help drivers make decisions. Therefore, computer vision systems and algorithms are needed to detect and track vehicles. This helps traffic management and driving assistance. This paper focuses on developing a reliable vehicle tracking system to detect the vehicle that is following the host vehicle. The proposed system uses a unique approach consisting of a mixture of background removal techniques, Haar features in a modified Adaboost algorithm in a cascade configuration, and SURF descriptors for tracking. From the camera mounted at the rear of the host vehicle, videos are captured. The results presented in this paper demonstrate the potential and efficiency of the system.

scholarly journals Improving Performance in Trust Based Multi-Link-Rat Communication for V2x Heterogeneous Vehicular Network

2021 ◽  
pp. 458-464
Author(s):  
G. Baskaran ◽  
G. Pragathi ◽  
S. Prithika ◽  
P. Rajeswari ◽  
B. Rubasri
Keyword(s):  
Real Time ◽  
Traffic Management ◽  
Vehicular Networks ◽  
Ad Hoc ◽  
Road Traffic ◽  
Vehicle Speed ◽  
V2v Communications ◽  
Real Time Information ◽  
Traffic Detection ◽  
Time Information

The dynamic nature of vehicular networks imposes a lot of challenges in multi hop data transmission as links are vulnerable in their existence due to associated mobility of vehicles. It is very difficult to establish and maintain end-to-end connections in a vehicle ad hoc network (VANET) as a result of high vehicle speed, long inter-vehicle distance, and varying vehicle density. Here propose a distributed heterogeneous V2V communications algorithm that allows each vehicle to dynamically select the RAT that is more suitable at each point in time. Multi-link is the capability of a device to communicate using multiple wireless links simultaneously. Multi-RAT is the capability of a device to communicate using different RATs. To propose a Predictive Routing based on Markov Model (PRM) to ensure more reliable and timely data transmissions in VANETs. In the case of accident management, emergency messages may be sent to a pre-determined road rescue site upon the occurrence of an accident, such as a crash on the highway during a snow day and a car spontaneous combustion due to the stored explosives. PRM can facilitate the transmission of real-time information from vehicles to a road traffic controller for more efficient traffic management. Rather than using passive traffic detection through sensors, the real-time reports of traffic data through V2V and V2I can avoid the costs of installing and maintaining a large number of sensors.

scholarly journals Navigation Safety for Marine Traffic in the Malacca Strait using AIS Data

2019 ◽  
Vol 7 (4) ◽  
Author(s):  
Muhammad Badrus Zaman
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Automatic Identification ◽  
Identification System ◽  
Maritime Traffic ◽  
Marine Traffic ◽  
International Regulations ◽  
Ship Safety ◽  
Malacca Strait ◽  
Navigation Safety

The Malacca Strait experiences high-density vessel traffic, and therefore is a busy area with high potential for collisions. Analyses of marine traffic that reflect the real conditions of ship navigation are performed to enhance maritime traffic safety. An automatic identification system (AIS) allows for the accurate investigation of actual ship encounters, ship collisions, and sea traffic management systems. For this study, an AIS receiver installed at the Universiti Teknologi Malaysia (UTM) provided AIS data, which focused on a selected area in the Malacca Strait. The 1972 International Regulations for Preventing Collisions at Sea (COLREG) guided the assessment of navigation safety based on real conditions using AIS and geographic identification systems (GIS). Based on estimates of the probability and consequence indices from a risk matrix, the time and encounter conditions determined the level of risk. This study also conducted safety measurements. The analysis indicated that ship safety would improve significantly if the vessels followed the guidelines established in this study

Discovering Knowledge from AIS Database for Application in VTS

2010 ◽  
Vol 63 (3) ◽  
pp. 449-469 ◽  
Author(s):  
Ming-Cheng Tsou
Keyword(s):  
Data Mining ◽  
Theoretical Research ◽  
Automatic Identification ◽  
Identification System ◽  
Observation Data ◽  
Data Mining Technique ◽  
Marine Traffic ◽  
Customer Relation Management ◽  
Real Time Information ◽  
Time Information

The widespread use of the Automatic Identification System (AIS) has had a significant impact on maritime technology. AIS enables the Vessel Traffic Service (VTS) not only to offer commonly known functions such as identification, tracking and monitoring of vessels, but also to provide rich real-time information that is useful for marine traffic investigation, statistical analysis and theoretical research. However, due to the rapid accumulation of AIS observation data, the VTS platform is often unable quickly and effectively to absorb and analyze it. Traditional observation and analysis methods are becoming less suitable for the modern AIS generation of VTS. In view of this, we applied the same data mining technique used for business intelligence discovery (in Customer Relation Management (CRM) business marketing) to the analysis of AIS observation data. This recasts the marine traffic problem as a business-marketing problem and integrates technologies such as Geographic Information Systems (GIS), database management systems, data warehousing and data mining to facilitate the discovery of hidden and valuable information in a huge amount of observation data. Consequently, this provides the marine traffic managers with a useful strategic planning resource.

scholarly journals Viability and Performance Analysis, at a Physical Level, of a Maritime Communication Network on Medium Frequency

2021 ◽  
Vol 9 (9) ◽  
pp. 970
Author(s):  
Alfonso-Isidro López-Diaz ◽  
Miguel A. Gutiérrez ◽  
Andrés Ortega Piris ◽  
Emma Díaz-Ruiz-Navamuel ◽  
David Rodríguez-Rosa
Keyword(s):  
Communication Network ◽  
Geographic Area ◽  
Identification System ◽  
Medium Frequency ◽  
Maritime Traffic ◽  
Physical Level ◽  
And Performance ◽  
Maritime Communication ◽  
Real Time Information ◽  
Time Information

This paper analysed the potentialities that have not yet been exploited of the Automatic Vessel Identification System on Medium Frequency (AVISOMEF) that was previously presented to the scientific community. This system expanded the spectrum of possibilities of the Global Maritime Distress and Safety System (GMDSS). By the time AVISOMEF was presented, one of the unexpected benefits was that it could constitute a platform capable of supporting a Maritime Communication Network on Medium Frequency; all remotely located vessels could communicate with each other by using AVISOMEF, making use of the new established network, within the geographic area of implementation, without needing to use satellite techniques. Medium frequency propagation is stable and is not subject to coverage restrictions. To conduct this experiment, we collaborated with the Spanish Maritime Safety Agency (SASEMAR). It was thanks to them that we gathered real-time information about the nationwide maritime traffic that navigated through the Spanish Search and Rescue jurisdiction waters from 2018 to 2020.

scholarly journals A “Net-Centric” Conduct of Navigation and Shipping Management

2020 ◽  
Vol 2 (2) ◽  
pp. Manuscript
Author(s):  
Dimitrios Dalaklis ◽  
Georgios Katsoulis ◽  
Momoko Kitada ◽  
Jens-Uwe Schröder-Hinrichs ◽  
Aykut I. Ölcer
Keyword(s):  
Continuous Improvement ◽  
Working Environment ◽  
Maritime Transport ◽  
Shipping Industry ◽  
Operating Environment ◽  
Technological Developments ◽  
Real Time Information ◽  
Near Future ◽  
Time Information ◽  
Transport Domain

Modern sea-going vessels are equipped with numerous technologically advanced systems and highly automated. The continuous improvement and integration-interconnection of electronics systems (“network-centric” approach), have created a new operating environment for the shipping industry. It is not a coincidence that recent discussions on digitalization and autonomous ships provide a disruptive picture of how this industry may be transformed in the near future. Today, all systems supporting the conduct of navigation and the various information technology (IT) applications related to shipping management activities are heavily reliant upon real-time information in order to safely and effectively fulfil their allocated tasks; the issues of connectivity and interconnection are clearly standing out.This analysis highlights a certain number of technological developments that follow the network-centric architecture and have been recently introduced as equipment appropriate for ships. It also examines how interactive processes and applications, both on the shore side and on-board vessels, can facilitate a safer working environment for seafarers and allow personnel based ashore to have a better understanding of what is happening at sea, as part of explaining the so-called “net-centric” framework of operations. Another important aim is to evaluate these promising technological trends according to their capacity of adoption in order to promote efficient and safe operations within the extended maritime transport domain.

Design of Static Traffic Management System Based on GIS

2014 ◽  
Vol 701-702 ◽  
pp. 1112-1115
Author(s):  
Feng Quan Yu ◽  
Jian Hua Guo
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Information Dissemination ◽  
The Internet ◽  
Functional Design ◽  
Logical Framework ◽  
Framework Design ◽  
Traffic Management System ◽  
Real Time Information ◽  
Time Information

An intelligent static traffic management system is brought forward combing with application environment and requirement analysis. Functional design, logical framework design and physical framework design are then proposed and analyzed. At last, the system is applied in practice and functions of PDA payment, real-time information dissemination, parking guidance and parking data analysis are all achieved based on the Internet and GIS.

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