scholarly journals Semi-Continuous Spatial Statistical Analysis Using AIS Data for Vessel Traffic Flow Characteristics in Fairway

2021 ◽  
Vol 9 (4) ◽  
pp. 378
Author(s):  
Jong Kwan Kim
Keyword(s):  
Statistical Analysis ◽  
Traffic Flow ◽  
Flow Characteristics ◽  
Automatic Identification ◽  
Identification System ◽  
Spatial Statistical Analysis ◽  
Traffic Characteristics ◽  
Traffic Distribution ◽  
Traffic Flow Characteristics ◽  
Marine Accidents

As high vessel traffic in fairways is likely to cause frequent marine accidents, understanding vessel traffic flow characteristics is necessary to prevent marine accidents in fairways. Therefore, this study conducted semi-continuous spatial statistical analysis tests (the normal distribution test, kurtosis test and skewness test) to understand vessel traffic flow characteristics. First, a vessel traffic survey was conducted in a designated area (Busan North Port) for seven days. The data were collected using an automatic identification system and subsequently converted using semi-continuous processing methods. Thereafter, the converted data were used to conduct three methods of spatial statistical analysis. The analysis results revealed the vessel traffic distribution and its characteristics, such as the degree of use and lateral positioning on the fairway based on the size of the vessel. In addition, the generalization of the results of this study along with that of further studies will aid in deriving the traffic characteristics of vessels on the fairway. Moreover, these characteristics will reduce maritime accidents on the fairway, in addition to establishing the foundation for research on autonomous ships.

scholarly journals Impacts of Autonomous Vehicles on Traffic Flow Characteristics under Mixed Traffic Environment: Future Perspectives

2021 ◽  
Vol 13 (19) ◽  
pp. 11052
Author(s):  
Mohammed Al-Turki ◽  
Nedal T. Ratrout ◽  
Syed Masiur Rahman ◽  
Imran Reza
Keyword(s):  
Traffic Flow ◽  
Autonomous Vehicles ◽  
Penetration Rate ◽  
Flow Characteristics ◽  
Driving Behavior ◽  
Mixed Traffic ◽  
Traffic Characteristics ◽  
Traffic Environment ◽  
Traffic Flow Characteristics ◽  
The Impact

Vehicle automation and communication technologies are considered promising approaches to improve operational driving behavior. The expected gradual implementation of autonomous vehicles (AVs) shortly will cause unique impacts on the traffic flow characteristics. This paper focuses on reviewing the expected impacts under a mixed traffic environment of AVs and regular vehicles (RVs) considering different AV characteristics. The paper includes a policy implication discussion for possible actual future practice and research interests. The AV implementation has positive impacts on the traffic flow, such as improved traffic capacity and stability. However, the impact depends on the factors including penetration rate of the AVs, characteristics, and operational settings of the AVs, traffic volume level, and human driving behavior. The critical penetration rate, which has a high potential to improve traffic characteristics, was higher than 40%. AV’s intelligent control of operational driving is a function of its operational settings, mainly car-following modeling. Different adjustments of these settings may improve some traffic flow parameters and may deteriorate others. The position and distribution of AVs and the type of their leading or following vehicles may play a role in maximizing their impacts.

Dynamic characteristics of traffic flow with consideration of crossing pedestrians’ behavior at a nonsignalized T-shaped intersection

2017 ◽  
Vol 28 (11) ◽  
pp. 1750134 ◽  
Author(s):  
H. Echab ◽  
H. Ez-Zahraouy
Keyword(s):  
Traffic Flow ◽  
Flow Characteristics ◽  
Vehicular Traffic ◽  
Density Profiles ◽  
Cellular Automata Model ◽  
Yield Line ◽  
Traffic Characteristics ◽  
Vehicular Traffic Flow ◽  
Principal Finding ◽  
Traffic Flow Characteristics

In this paper, we present a cellular automata model to depict the traffic characteristics at such a nonsignalized [Formula: see text]-shaped intersection in the presence of pedestrian crossings. The vehicular traffic flow characteristics with different parameters are studied. Throughput, phase diagrams, space-time and density profiles are built to point various traffic states and the phase transition features. The principal finding of the simulation are as follows: (1) The presence of crossing pedestrians has a significant influence on the vehicular traffic and the system performance, (2) The intersection capacity has a close relevance with the state of the weaving section. The smaller the interactions are at the weaving section, the higher the capacity and (3) In order to have a higher system ability, the crosswalk location should not be far from the yield line of the weaving section.

Assessment of the Influence of Offshore Wind Farms on Ship Traffic Flow Based on AIS Data

2019 ◽  
Vol 73 (1) ◽  
pp. 131-148 ◽  
Author(s):  
Qing Yu ◽  
Kezhong Liu ◽  
A.P. Teixeira ◽  
C. Guedes Soares
Keyword(s):  
Statistical Analysis ◽  
Traffic Flow ◽  
Wind Farms ◽  
Offshore Wind ◽  
Automatic Identification ◽  
Identification System ◽  
Offshore Wind Farms ◽  
Ship Traffic ◽  
Maritime Traffic ◽  
Before And After

This paper proposes a framework to assess the influence of Offshore Wind Farms (OWFs) on maritime traffic flow based on raw Automatic Identification System (AIS) data collected before and after the installation of the offshore wind turbines. The framework includes modules for data acquisition, data filtering and statistical analysis. The statistical analysis characterises the influence of an OWF on maritime traffic in terms of minimum passing distances and lateral distribution of the ship trajectories near the OWF. The framework is applied to a specific route for which AIS data is available before and after an OWF installation. The impacts of the OWF on marine traffic are diverse and depend on the ship type categories. This paper quantitatively characterises an OWF's influence on a specific route that is probabilistically modelled, which is important for further studies on OWF site selection and maritime traffic risk assessment and management.

scholarly journals STUDY ON HETEROGENEOUS TRAFFIC FLOW CHARACTERISTICS OF A TWO-LANE ROAD / HETEROGENINIO TRANSPORTO EISMO SRAUTO CHARAKTERISTIKOS DVIEJŲ JUOSTŲ KELYJE / ХАРАКТЕРИСТИКИ ГЕТЕРОГЕННОГО ПОТОКА ДВИЖЕНИЯ НА ДВУХПОЛОСНОЙ ДОРОГЕ

Transport ◽  
2011 ◽  
Vol 26 (2) ◽  
pp. 185-196 ◽  
Author(s):  
Nitish Sharma ◽  
Shriniwas Shrikant Arkatkar ◽  
Ashoke Kumar Sarkar
Keyword(s):  
Traffic Flow ◽  
Exploratory Study ◽  
Flow Characteristics ◽  
Heterogeneous Traffic ◽  
Data Traffic ◽  
Traffic Characteristics ◽  
Flow Parameters ◽  
Traffic Flow Characteristics

The paper presents traffic studies conducted by using a video capturing technique on the uninterrupted heterogeneous mix of vehicles plying on an undivided two-lane road facility. On the basis of the collected data, traffic characteristics pertaining to arrival, headway and speed distributions have been plotted considering suitable mathematical distributions to fit field observed values. The curves representing fundamental traffic flow relationships among three basic variables, namely speed, density and flow have also been established. Thus, a systematic attempt to enable the understanding of heterogeneous traffic flow parameters has been made through this exploratory study. Santrauka Remiantis vaizdo technika gautais duomenimis, straipsnyje tyrinėjami nenutrūkstami įvairių transporto priemonių srautai dviejų juostų vientisame kelyje. Darbe pateikiamas eismo srauto charakteristikų, susijusių su atvykimu, judėjimu į priekį ir greičio pasiskirstymu, planas, atsižvelgiant į tinkamą matematinį planavimą, sėkmingai derinamą su jau stebėtomis reikšmėmis. Pateiktos fundamentalios transporto eismo srauto grafinės priklausomybės nuo trijų pagrindinių kintamųjų – greičio, tankio ir srauto. Sistemingas tyrimas leidžia geriau suprasti heterogeninio (įvairiarūšio) transporto eismo srauto parametrus. Резюме Исследуется непрерывное движение различных транспортных средств в потоке на двухполосной дороге с использованием данных, полученных с помощью видеотехники. Представлен план характери стик потока движения с учетом прибытия, движения вперед и распределения скорости. Математический эксперимент удачно сочетается с уже имеющимися значениями. Представлены фундаментальные графические зависимости потока движения от трех основных переменных – скорости, плотности и потока. Системное исследование позволит лучше понять параметры гетерогенного потока движения транспорта.

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