scholarly journals The implementation of intelligent systems in automating vehicle detection on the road

2021 ◽  
Vol 10 (3) ◽  
pp. 571
Author(s):  
Susanto Susanto ◽  
Dimas Dwi Budiarjo ◽  
Aria Hendrawan ◽  
Prind Triajeng Pungkasanti
Keyword(s):  
Object Detection ◽  
Intelligent Systems ◽  
Detection System ◽  
Road Construction ◽  
The Road ◽  
Traffic Jams ◽  
On The Road ◽  
Pass Through ◽  
Road Widening

<span lang="EN-US">Indonesia is a country with a high population, especially in big cities. The road always crowded with various types of vehicles. Sometimes the growth of vehicles is not matched by road construction. During peak hours, too many vehicles can cause traffic jams on the road. The road is needed to be widened to accommodate the number of vehicles that pass each day. In order for road widening to be precise at locations that frequently occur in traffic jams, data on the number and classification of vehicles passing is required. Therefore, a system that can calculate and recognize the type of vehicle that passes is needed. The development of various studies on artificial intelligence especially about object detection can classify and calculate the type of vehicle. In this study, the authors used the you only look once (YOLO) object detection system using a convolution neural network (CNN) method to classify and count vehicles that pass automatically. The author uses a dataset of 600 images with 4 classes which are car, truck, bus, and motorbikes that pass through the road. The results showed that the YOLO object detection system can recognize objects consistently with accuracy more than 80% on CCTV video that installed on the road.</span>

scholarly journals THE PENETRATION OF ENGINEERING BY ECONOMICS: McFADDEN AND THE TRANSFORMATION OF ROAD DEMAND ESTIMATION

2021 ◽  
Vol 43 (2) ◽  
pp. 262-278
Author(s):  
Ariane Dupont-Kieffer ◽  
Sylvie Rivot ◽  
Jean-Loup Madre
Keyword(s):  
Road Network ◽  
Road Construction ◽  
Demand Estimation ◽  
Demand Modeling ◽  
The Road ◽  
Collective Decisions ◽  
The Face ◽  
Decision Making Processes ◽  
On The Road ◽  
The 1960S

The golden age of road demand modeling began in the 1950s and flourished in the 1960s in the face of major road construction needs. These macro models, as well as the econometrics and the data to be processed, were provided mainly by engineers. A division of tasks can be observed between the engineers in charge of estimating the flows within the network and the transport economists in charge of managing these flows once they are on the road network. Yet the inability to explain their decision-making processes and individual drives gave some room to economists to introduce economic analysis, so as to better understand individual or collective decisions between transport alternatives. Economists, in particular Daniel McFadden, began to offer methods to improve the measure of utility linked to transport and to inform the engineering approach. This paper explores the challenges to the boundaries between economics and engineering in road demand analysis.

Strategies for Promoting the Use of Concrete Pavements in Tanzania: Technical and Institutional Considerations

2008 ◽  
Vol 31 (1) ◽  
pp. 53-62
Author(s):  
D.A. Mfinanga ◽  
H. Bwire
Keyword(s):  
Road Construction ◽  
Cost Effective ◽  
Petroleum Products ◽  
Concrete Pavements ◽  
Construction Technology ◽  
The Road ◽  
Competing Demands ◽  
Resource Requirements ◽  
On The Road ◽  
Economic Developments

High-type roads in Tanzania have been predominantly of asphaltic concrete construction. This ever enlarging and ageing asphaltic road network represents increasing resource requirements on the road agency in the form of maintenance. Limited resources coupled with the ever sky-rocketing costs of petroleum products and the competing demands of social economic developments, presupposes the need to look for alternative road construction technology that is more cost-effective and resource optimising. Experience gained from developed and some developing countries where concrete pavements have been widely used suggests the potential of this type of pavement in many developingcountries. This paper discusses the technical aspects of design and construction- and maintenance-related aspects of concrete pavements. The discussion extends further to highlight issues pertaining to the performance of concrete pavements and strategies for promoting the use of concrete pavements in Tanzania. Conclusions and recommendationsare made with suggestions on how to start implementing the proposed strategies.

scholarly journals An algorithm for IoT based vehicle verification system using RFID

2019 ◽  
Vol 9 (5) ◽  
pp. 3751
Author(s):  
Alen Joseph Samuel ◽  
Shoney Sebastian
Keyword(s):  
Motor Vehicle ◽  
Rfid Technology ◽  
The Road ◽  
Verification System ◽  
On The Road ◽  
Verification Process ◽  
Pass Through ◽  
The Magnetic Field ◽  
Day By Day

The verification of vehicle documents is an important role of transport department which is rising day by day due to the mass registration of the vehicles. An automated vehicle verification system can improve the efficiency of this process.  In this paper, we propose an IOT based vehicle verification system using RFID technology. As a result, the vehicle checking which is done now manually can be replaced by automation. There is a loss of a significant amount of time when the normal vehicle checking is done manually. The proposed system will make this process automated. The present verification process is using inductive loops that are placed in a roadbed for detecting vehicles as they pass through the loop of the magnetic field. Similarly, the sensing devices spread along the road can detect passing vehicles through the Bluetooth mechanism. The fixed audio detection devices that can be used to identify the type of vehicles on the road. Other measurements are fixed cameras installed in specific points of roads for categorising the vehicles. But all these mechanisms cannot verify the documents and certificates of the vehicles. In our work, we have suggested an algorithm using RFID technology to automate the documentation verification process of the vehicles like Pollution, Insurance, Rc book etc with the help of RFID reader placed at road checking areas. This documents will be updated by the motor vehicle department at specific periods.

scholarly journals SERAT ECENG GONDOK SEBAGAI BAHAN ALTERNATIF ADMIXTURE PADA LASTON TIPE XI SNI 03-1737-1989 DITINJAU TERHADAP NILAI-NILAI UJI MARSHALL

Jurnal CIVILA ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 154
Author(s):  
Errine Yulia Rizqi Intanti ◽  
Zulkifli Lubis
Keyword(s):  
Water Hyacinth ◽  
Asphalt Mixture ◽  
Road Construction ◽  
Flexible Pavement ◽  
The Road ◽  
Concrete Layer ◽  
Wide Range ◽  
On The Road ◽  
Marshall Stability

In Indonesia, the road construction has experienced a fairly good development. From a wide range of road constructions, flexible pavement is the most chosen one because its characteristics: easy, fast, and efficient. However, flexible pavement has many weaknesses, for example the premature damage on the road surface after some time passed by the traffic so that the road cannot reach the planned age. For that, it is done a research to add a hot asphalt mixture material that aims to improve the quality of the mixture results. The selected ingredient is natural water hyacinth. The method used is trial and error with reference of SNI 03-1737-1989. Variations used are 2%, 4%, 6%, 8% and 10% of the asphalt weight, asphalt level used is 5.72 %. Of the 5 variations of mixture used on Type XI Asphalt Concrete Layer, it is obtained the result that the water hyacinth fiber level which has the best score and meet the specifications of SNI 03-1737-1989 is on the percentage of 6% which obtained from calculation data using graphs and regression model where Marshall Stability is equal to 644,46 Kg, flow 3,39 mm, VMA (voids in the mineral aggregate) is equal to 13,83 %, VFWA (voids filled with asphalt) is equal to 65,35%, VIM (voids in the mix) is equal to 2,52 %, density of 2.31 gr/cc, and Marshall Quotient of 164.03 Kg / mm.

scholarly journals Use of Mathematical Morphology in Vehicle Plate Detection

2018 ◽  
Vol 11 (4) ◽  
pp. 195-200
Author(s):  
NEERAJA MOHANAN ◽  
AFAQ AHMAD ◽  
SAYYID SAMIR AL-BUSAIDI ◽  
LAZHAR KHIRIJI ◽  
AMIR ABDULGHANI ◽  
...  
Keyword(s):  
Mathematical Morphology ◽  
Traffic Control ◽  
Traffic Management ◽  
Detection System ◽  
Software Tool ◽  
Recognition System ◽  
Continuous Increase ◽  
The Road ◽  
Toll Collection ◽  
On The Road

In the past couple of decades, the number of vehicles has increased radically. A statistic which presents the number of cars sold worldwide from 1990 through 2017, forecasts for 2018, some 81.6 million automobiles are expected to be sold by the end 2018. With this continuous increase, it is becoming very tedious to keep track of each vehicle for the purpose of security, law enforcement and traffic management. This phenomenon of rapidly increasing vehicles on the road highlights the importance for a vehicle number plate recognition system. By recognizing the car plates, the drivers of the vehicle can be identified from the database. Number plate detection system are used in various applications like traffic law maintenance, traffic control, automatic toll collection, parking systems, automatic gate openers. This paper presents a unique algorithmic procedure for detecting vehicle plate number which is based on the concept of mathematical morphology. The developed algorithm is simple, efficient and flexible. The algorithm is capable of working satisfactorily even in different constraints such as like rain, smoke and shadow. This user-friendly software tool is developed on MATLAB platform which is one of the common and efficient image processing analysis tools.

scholarly journals NEURAL FUZZY NETWORK FOR ASSESSING TECHNOLOGICAL SOLUTIONS FOR FOREST ROADS

2020 ◽  
Vol 10 (3) ◽  
pp. 95-103
Author(s):  
Vladimir Pobedinskiy ◽  
Sergey Buldakov ◽  
Andrey Berstenev ◽  
Elena Anastas
Keyword(s):  
Neural Network ◽  
Intelligent Systems ◽  
Information Technologies ◽  
Rapid Assessment ◽  
Road Construction ◽  
Road Surface ◽  
Forest Roads ◽  
The Road ◽  
Logging Roads ◽  
Fuzzy Network

The article is devoted to the problem of improving road construction technologies, in particular, technological solutions for logging roads. As you know, in road construction, the choice and justification of technological solutions for the road surface is one of the first stages of design, the efficiency of which affects further project as a whole, timing and costs of construction. The solution to such a problem is extremely difficult and, first of all, due to the many interrelated parameters, factors, as well as the uncertainties of data in the problem. The task becomes much more complicated when it is also necessary to take into account the economic indicators of road construction project. But it is in this form that it is of the greatest interest, since these characteristics are often the most important in practice. For these reasons, the problem remains completely unsolved. Therefore, requires further research, as noted, taking into account the uncertainties in the problem. Intelligent systems based on the theory of fuzzy sets, neural networks and their hybrid solutions are proposed for this class of problems, as a result of modern achievements in the field of mathematics and information technologies. Thus, the purpose of this research was to develop a neural network for evaluating technological solutions for logging roads. The result of the research was the development of an adaptive neuro-fuzzy network such as ANFIS, which allows calculating the cost of the road surface depending on the main technological and initial financial parameters. The neural network can be recommended for the design of forest roads, as well as for rapid assessment of the effectiveness of various technological solutions during competitive (tender) selection.

scholarly journals A Sensor Fused Rear Cross Traffic Detection System Using Transfer Learning

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6055
Author(s):  
Jungme Park ◽  
Wenchang Yu
Keyword(s):  
Processing Time ◽  
Detection System ◽  
Detection Accuracy ◽  
Driver Assistance Systems ◽  
The Road ◽  
Cross Traffic ◽  
Fast Processing ◽  
On The Road ◽  
Wide Angle Camera ◽  
Traffic Detection

Recent emerging automotive sensors and innovative technologies in Advanced Driver Assistance Systems (ADAS) increase the safety of driving a vehicle on the road. ADAS enhance road safety by providing early warning signals for drivers and controlling a vehicle accordingly to mitigate a collision. A Rear Cross Traffic (RCT) detection system is an important application of ADAS. Rear-end crashes are a frequently occurring type of collision, and approximately 29.7% of all crashes are rear-ended collisions. The RCT detection system detects obstacles at the rear while the car is backing up. In this paper, a robust sensor fused RCT detection system is proposed. By combining the information from two radars and a wide-angle camera, the locations of the target objects are identified using the proposed sensor fused algorithm. Then, the transferred Convolution Neural Network (CNN) model is used to classify the object type. The experiments show that the proposed sensor fused RCT detection system reduced the processing time 15.34 times faster than the camera-only system. The proposed system has achieved 96.42% accuracy. The experimental results demonstrate that the proposed sensor fused system has robust object detection accuracy and fast processing time, which is vital for deploying the ADAS system.

scholarly journals ROADWAY ROUGHNESS RESEARCH AND CAUSES DETERIORATION ANALYSIS

2017 ◽  
Vol 1 (48) ◽  
pp. 251-257
Author(s):  
D. O. Pavlyuk ◽  
V. P. Tereshchuk ◽  
V. S. Chapovskyi
Keyword(s):  
Detailed Analysis ◽  
Transverse Crack ◽  
Road Construction ◽  
Transverse Cracks ◽  
Research Results ◽  
The Road ◽  
Road Profile ◽  
On The Road ◽  
The City

The article deals with modern directions of domestic and foreign smoothness research coverage on the roads.  The problem of causes changes establishing in smoothness coverage related to the irregularities in the procedure of road construction layers is highlighted. The research results of the trafficway smoothness and its causes deterioration analysis, performed by operation of roads and airfields laboratory at National Transport University on research road area H-18 around the city Buchach is shown.  By the research results the road profile is drawn and the detailed analysis of road topping smoothness changes during road operation is done. Samples at the specific points on the road topping is taken: in one place it is a transverse crack, in another – without noticeable defects. It is established that road profile hollows and transverse cracks caused by black layers uneven thickness along the road.

scholarly journals A PRELIMINARY STUDY ON UPDATING HIGH DEFINITION MAPS: DETECTING AND POSITIONING A TRAFFIC CONE BY USING A STEREO CAMERA

2019 ◽  
Vol XLII-4/W19 ◽  
pp. 271-274
Author(s):  
M. L. R. Lagahit ◽  
Y. H. Tseng
Keyword(s):  
Real Time ◽  
Data Storage ◽  
Autonomous Vehicles ◽  
Detection System ◽  
Time Data ◽  
High Definition ◽  
Stereo Camera ◽  
The Road ◽  
On The Road ◽  
Self Driving Cars

Abstract. The concept of Autonomous Vehicles (AV) or self-driving cars has been increasingly popular these past few years. As such, research and development of AVs have also escalated around the world. One of those researches is about High-Definition (HD) maps. HD Maps are basically very detailed maps that provide all the geometric and semantic information on the road, which helps the AV in positioning itself on the lanes as well as mapping objects and markings on the road. This research will focus on the early stages of updating said HD maps. The methodology mainly consists of (1) running YOLOv3, a real-time object detection system, on a photo taken from a stereo camera to detect the object of interest, in this case a traffic cone, (2) applying the theories of stereo-photogrammetry to determine the 3D coordinates of the traffic cone, and (3) executing all of it at the same time on a Python-based platform. Results have shown centimeter-level accuracy in terms of obtained distance and height of the detected traffic cone from the camera setup. In future works, observed coordinates can be uploaded to a database and then connected to an application for real-time data storage/management and interactive visualization.

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