Fairway Traffic Capacity in Indonesia

Kadarsa, Edi; Lubis, Harun Al-Rasyid S.; Sjafruddin, Ade; Frazila, Russ Bona

doi:10.1016/j.proeng.2017.01.466

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…where N1 is the air traffic volume in the daytime 07:00-19:00; N2 is the air traffic volume in the evening time 19:00-23:00; N3 is the air traffic volume in the nighttime 23:00-07:00. L EPN denotes the average value of the effective perceived noise level (EPNL), (6)…”

Section: Noise Level (Nl) Assessment Modelmentioning

confidence: 99%

“…The concept of ETC has been widely used in urban traffic, road traffic and waterway transportation. Huang proposed a double-decision optimization model to obtain the maximum urban traffic under the constraint of noise environmental capacity [3], Du adopted the multi-objective programming model to describe the relationship between traffic emission and urban traffic based on the traffic environmental capacity and macroscopic fundamental diagram theory [4], Wang established the road section environmental traffic capacity optimization model and used the improved augmented Lagrange function to solve the model [5] and determined the waterway traffic capacity by the minimum stopping distance prediction model [6], and the existing research generally studies the relationship between environment and traffic by different model to calculate the maximum traffic volume as ETC. In air traffic, some scholars have also paid attention to the environmental impact, but there is no in-depth research on ETC so far [7,8].…”

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confidence: 99%

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Airport capacity evaluation based on air traffic activities big data

Wan

Peng

Tian

et al. 2020

J Wireless Com Network

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In order to evaluate the airport's comprehensive service capabilities, this paper considers the impact of air quality and noise on the airport environment under the big data of air traffic activities. In this study, the concept of environmental traffic capacity and big data are applied to the air traffic field. Recently, the airport air and noise pollution has been widely investigated and has become one of the major concerns of the potentially exposed people. This study explores the usage of governmental ambient air quality and noise standards to evaluate the airport operation capacities in the context of the era of big data. The first step is to analyze the typical airport operation scenario as the evaluation scenario. The second step is to use the air and noise emission assessment model for calculating the airport maximum air pollutant concentration and noise level. The final step is to establish a complete airport environment traffic capacity (AETC) evaluation process. As a case study, the capacity evaluation of Nanjing Lukou international airport (NKG) is performed using the above steps. In this case, significant associations between the pollutant concentrations/noise level and the air traffic volume were observed. The AETC of NKG was calculated with the established evaluation process successfully. The results show that the NKG maximum hourly air traffic volume is 120, daily air traffic volume is 770, and annual air traffic volume is 365,805, meeting the China Ambient Air Quality and Noise Standards. Although different air pollutants were investigated in this research, only the NOx was found to be the species that approaching the China governmental standards in this case. Thus, the airport NOx concentration was selected as the AETC limitation factor.

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Section: Noise Level (Nl) Assessment Modelmentioning

confidence: 99%

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confidence: 99%

Airport capacity evaluation based on air traffic activities big data

Wan

Peng

Tian

et al. 2020

J Wireless Com Network

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“…Liu et al (2016) proposed a dynamic ship domain model considering different encounter scenarios of two ships. Kadarsa et al (2017) studied the fairway traffic capacity in Indonesia by deriving the MDTC among different ship types.…”

Section: Literature Reviewmentioning

confidence: 99%

Methodology for Estimating Waterway Traffic Capacity at Shanghai Estuary of the Yangtze River

2019

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The objective of this study is to propose a methodology for assessing waterway traffic capacity in the Shanghai estuary of the Yangtze River. To achieve this objective, we first put forward the estimation method which utilises the minimum collision distance taking the dynamic ship domain into consideration. Considering possible effects caused by unknown external factors, the waterway traffic capacity is then represented by a probability distribution. Finally, we quantify the equivalent units of ships with various ship sizes as well as the effects of large-sized ships on the waterway traffic capacity. Results show that a large-sized ship is equivalent to more small-sized ships during the daytime period than at night. In addition, the deployment of large-sized ships could increase the waterway traffic capacity and such an increment highly depends on the increased proportion of large-sized ships in the waterway traffic.

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“…With the increasing port throughput and the trend of large-scale ships, the characteristics of ship traffic and the complex structures of ship traffic are increasingly high-lighted (Meng, et al 2014, Bye, et al 2019), and it is necessary to study the impact of ship traffic flow characteristics on the passage capacity of the waterway (Kadarsa, et al 2016). Scholars at home and abroad have carried out research on the passage capacity of the waterway from various aspects, mainly including the analysis of factors affecting the passage capacity of the waterway, such as ship field (Szlapczynski, et al 2017), ship type and size (Liu, et al 2016), navigation mode (Olba, et al 2019), ship speed (Nie, et al 2017), service rules (Wang, et al 2017), internal anchorage scale (Wang, et al 2017), channel condition (Liu, et al 2020), and so on.…”

Section: Introductionmentioning

confidence: 99%

Simulation study on passing capacity of port waterway based on traffic flow characteristics

Wang,

Zhao

2024

Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023)

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Traffic flow characteristics is one of the important factors affecting the passage capacity of the waterway, for the Jinzhou port waterway to the port ship traffic flow increase and the development trend of large ships, combined with the waterway, berths, anchorage, and natural conditions and other factors, the use of Anylogic software on the passage capacity of the main channel of the Jinzhou port and the level of service and other simulation analyses. The simulation results show that: when the traffic flow increases to 1.3 times of the current one, the increase of the proportion of large ships has a greater impact on the service level of the port, and it is necessary to increase the berths of large ships or improve the efficiency of berth operation to improve the passage capacity of the waterway.

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Fairway Traffic Capacity in Indonesia

Cited by 6 publications

References 6 publications

Airport capacity evaluation based on air traffic activities big data

Airport capacity evaluation based on air traffic activities big data

Methodology for Estimating Waterway Traffic Capacity at Shanghai Estuary of the Yangtze River

Simulation study on passing capacity of port waterway based on traffic flow characteristics

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