Evaluasi  Inlet Drainase Jalan Poros Utama Kecamatan Kuala Kabupaten Nagan Raya

Nagan Raya District Government undertook the construction of roads, including the Poros Utama Road of Kuala Subdistrict. At the time of rain, in certain locations are still formed puddles above the surface of the asphalt. Therefore, it is necessary to evaluate the efficiency and duration of draining flow through the inlet on the road. The data required are the type, distance and dimensions of the existing inlet and the location map, the maximum daily annual rainfall data, cross and longitudinal sectional drawing. Calculations start by calculating the design flow of rainfall data processing. Furthermore, the calculation of the gutter flow as well as the efficiency and the inlet draining time. Based on calculations, the efficiency of the existing inlet in the form of a curb opening inlet is in the range between 4,93% to 6,51% with 0,64-3,92 minutes of draining time. This value indicates that the inlet on the road produces very low efficiency. Inlet is expected to drain all the water or 100% efficiency. The inundation disturbs the movement of the vehicle and affects the pavement resistance. Therefore, the flow of water above the road surface is expected not to create a puddle.

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Integration of Transport-relevant Data within Image Record of the Surveillance System

PROMET - Traffic&Transportation ◽

10.7307/ptt.v28i5.2114 ◽

2016 ◽

Vol 28 (5) ◽

pp. 517-527

Author(s):

Adam Stančić ◽

Ivan Grgurević ◽

Zvonko Kavran

Keyword(s):

Mathematical Model ◽

Data Processing ◽

Discrete Cosine Transform ◽

Programming Language ◽

Surveillance System ◽

Basic Assumption ◽

Review Paper ◽

Relevant Information ◽

The Road ◽

On The Road

Integration of the collected information on the road within the image recorded by the surveillance system forms a unified source of transport-relevant data about the supervised situation. The basic assumption is that the procedure of integration changes the image to the extent that is invisible to the human eye, and the integrated data keep identical content. This assumption has been proven by studying the statistical properties of the image and integrated data using mathematical model modelled in the programming language Python using the combinations of the functions of additional libraries (OpenCV, NumPy, SciPy and Matplotlib). The model has been used to compare the input methods of meta-data and methods of steganographic integration by correcting the coefficients of Discrete Cosine Transform JPEG compressed image. For the procedures of steganographic data processing the steganographic algorithm F5 was used. The review paper analyses the advantages and drawbacks of the integration methods and present the examples of situations in traffic in which the formed unified sources of transport-relevant information could be used.

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Electric Three-Wheeler: A Next-Gen Transport System for Developing Countries.

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.f7430.038620 ◽

2020 ◽

Vol 8 (6) ◽

pp. 966-970

Keyword(s):

Air Pollution ◽

Developing Countries ◽

Transport System ◽

Fossil Fuels ◽

Renewable Source ◽

The Road ◽

Running Cost ◽

On The Road ◽

Low Efficiency

Electric three-wheelers are now a day's becoming an emerging trend in the ecumenical market. Sundry manufacturers are coming into the market with different variants of electric three-wheelers. This paper aims to study these electrically powered three-wheelers comparing with conventional three-wheelers. As three-wheelers are the major source of road convey in developing countries and withal the more frugal one it is very consequential to study those. The conventional petrol engines, three-wheelers are engendering a plethora of pollution due to which electric three-wheelers are becoming a major source of magnetization in cities. Electric three-wheelers are comparatively very eco-cordial as they do not utilize any kind of fossil fuels. This paper aims to find a better alternative for sundry types of conventional three-wheeler running on the road. The exiting conveyances are to be superseded by the conveyance which can be operated utilizing a renewable source of energy, to minimize the unpropitious effects of conventional ones such as air pollution, low efficiency, high running cost, etc.

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Improve the Marshall stability of porous asphalt pavement with HDPE addition

MATEC Web of Conferences ◽

10.1051/matecconf/201927603005 ◽

2019 ◽

Vol 276 ◽

pp. 03005

Author(s):

Elsa Eka Putri ◽

Oliensia Vasilsa

Keyword(s):

Asphalt Pavement ◽

Asphalt Binder ◽

Good Choice ◽

Annual Rainfall ◽

Porous Asphalt ◽

The Road ◽

Maximum Stability ◽

Asphalt Content ◽

On The Road ◽

Marshall Stability

Porous asphalt is a gap graded pavement that is 20% air voids which enables rainwater that falls on the road surface to flow through the pavement and into drainage on the side of the road. Porous asphalt has a high shear resistance and dries quickly but its stability is low, it is costly to maintain and needs replacing after only a short time. Despite these disadvantages, porous asphalt is still a good choice in area that experiences heavy annual rainfall. High Density Polyethylene (HDPE), an opaque plastic, is harder and stronger than porous asphalt with a tensile strength of 3100-5500 psi. It is resistant to high temperatures. This study aims to investigate the effect of various percentages of HDPE as an additive to produce an HDPE Asphalt Binder for porous asphalt pavement. Marshall parameters were determined based on the AAPA 2004 standard. It was found that 4% HDPE achieved a maximum stability value of 870 kg at the optimum asphalt content for porous asphalt pavement was 5.54%. Stability of porous asphalt pavement with optimum asphalt content value was 61.1% higher after the addition of HDPE. Thus, the use of HDPE as an additive in Asphalt Binder was able to increase the binding strength of the asphalt minimising the disadvantages of the low stability of traditional porous asphalt pavement.

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Road Dynamic Object Mapping System Based on Edge-Fog-Cloud Computing

Electronics ◽

10.3390/electronics10222825 ◽

2021 ◽

Vol 10 (22) ◽

pp. 2825

Author(s):

Sooyeon Shin ◽

Jungseok Kim ◽

Changjoo Moon

Keyword(s):

Cloud Computing ◽

Data Processing ◽

Real Time ◽

Grid Cell ◽

Safe Driving ◽

The Road ◽

Dynamic Mapping ◽

Mapping System ◽

Roadside Unit ◽

On The Road

Dynamic objects appearing on the road without notice can cause serious accidents. However, the detection ranges of roadside unit and CCTV that collect current road information are very limited. Moreover, there are a lack of systems for managing the collected information. In this study, a dynamic mapping system was implemented using a connected car that collected road environments data continuously. Additionally, edge-fog-cloud computing was applied to efficiently process large amounts of road data. For accurate dynamic mapping, the following steps are proposed: first, the classification and 3D position of road objects are estimated through a stereo camera and GPS data processing, and the coordinates of objects are mapped to a preset grid cell. Second, object information is transmitted in real time to a constructed big data processing platform. Subsequently, the collected information is compared with the grid information of an existing map, and the map is updated. As a result, an accurate dynamic map is created and maintained. In addition, this study verifies that maps can be shared in real time with IoT devices in various network environments, and this can support a safe driving milieu.

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