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 Intelligent Traffic Control System

2020 ◽  
Vol 8 (6) ◽  
pp. 4693-4696
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Detection System ◽  
Human Life ◽  
Video Camera ◽  
Emergency Vehicle ◽  
The Road ◽  
Emergency Vehicles ◽  
On The Road ◽  
Processing Techniques

Managing traffic maintaining order is the most demanding tasks in the contemporary day and age. Emergency vehicles such as an ambulance face lot of hardships when they get stuck in traffic, valuable human life is lost due to poor traffic management. In this paper a model is proposed for calculating traffic heaviness on roads using processing techniques for images with ambulance detection system and controlling model for traffic signals with the information extracted from images of vehicles on roads captured by video camera. The traffic intensity depends on the total vehicles on the road. The proposed model counts the vehicles in the lane and checks for the presence of emergency vehicles , whenever an emergency vehicle is detected that particular lane is allowed to move and the signal is turned to green.

scholarly journals Design and Development of Traffic Control System using Image Processing

2021 ◽  
Vol 9 (VI) ◽  
pp. 3247-3252
Author(s):  
G. Kalyan
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Red Light ◽  
Traffic Density ◽  
The Road ◽  
Real Time Traffic ◽  
On The Road

Traffic congestion is now a big issue. Although it seems to penetrate throughout the world, urban towns are the ones which are most effected. And it is expanding in nature that it is necessary to understand the density of roads in real time to better regulate signals and efficient management of transport. Various traffic congestions, such as limited capacity, unrestricted demand, huge Red Light waits might occur. While insufficient capacity and unlimited demand are somehow interconnected, their delay in lighting is difficult to encode and not traffic dependant. The necessity to simulate and optimise traffic controls therefore arises in order to better meet this growing demand. The traffic management of information, ramp metering, and updates in real-time has been frequently used in recent years for image processing and monitoring systems. An image processing can also be used for the traffic density estimation. This research describes the approach for the computation of real-time traffic density by image processing for using live picture feed from cameras. It focuses also on the algorithm for the transmission of traffic signals on the road according to the density of vehicles and therefore aims to reduce road congestion, which reduces the number of accidents.

scholarly journals DETERMINATION OF TRAFFIC FLOWS PARAMETERS ON THE MANAGEMENT NETWORK

2020 ◽  
Author(s):  
Nataliia Semchenko ◽  
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Management ◽  
Traffic Flows ◽  
The Road ◽  
Specific Intensity ◽  
Traffic Flow Management ◽  
On The Road ◽  
Basic Characteristics

The work is devoted to the actual problem of determining the parameters of dense traffic flows on the road cities network, which can be used when introducing automated traffic control systems. The subject of the study is to determine the parameters of traffic flows in the central part of the city. The purpose of the work is to develop methods for determining the parameters of traffic flows of the street and road network on the basis of empirical and analytical modeling to reduce the number of peripheral measuring devices in the automated traffic control system. Methodology. In the given thesis there was solved the applied scientific problem of short-term operational forecasting of the traffic flow intensity on the transport network using the empirical-analytical approach, in which the measurement of traffic flow parameters at the entrances to the area of traffic flow management is carried out by transport detectors, internal local objects are determined by modeling. The proposed model is based on the determination of intensities at approaches to stop lines of internal crossroads of the management area using recurrent sequences. Experimental researches of traffic flows on the network and on the crossings were carried out using video filming during periods of maximum load. A comparative analysis of the simulation results with the experimental data showed that the relative error on a network with an area of 50-60 hectares does not exceed 3%, which indicates the adequacy of the model and the possibility of using it for management tasks. Practical implications. Implementation of the empirical-analytical method in automated traffic management systems will make it possible to reduce the number of detectors by 43-46% depending on the area of traffic management and obtain a sufficient economic effect. The regularities of the movement of dense traffic flows of high specific intensity on short hauls, typical for the central parts of cities, have been investigated. Value/originality. According to experimental results there were obtained approximating models of parameters of the logarithmic normal probabilistic law of time intervals distribution in dense traffic flows, the specific intensity of which exceeds 600 vph; the changes in basic characteristics of the vehicles group in the traffic flow when driving through the road crossing taking into account its intensity and the distance from the group forming object are determined.

scholarly journals Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing

2021 ◽  
Vol 13 (12) ◽  
pp. 2329
Author(s):  
Elżbieta Macioszek ◽  
Agata Kurek
Keyword(s):  
Travel Behavior ◽  
Traffic Management ◽  
Road Traffic ◽  
Traffic Volume ◽  
The Road ◽  
Traffic Characteristics ◽  
Annual Average Daily Traffic ◽  
On The Road ◽  
The Impact ◽  
The City

Continuous, automatic measurements of road traffic volume allow the obtaining of information on daily, weekly or seasonal fluctuations in road traffic volume. They are the basis for calculating the annual average daily traffic volume, obtaining information about the relevant traffic volume, or calculating indicators for converting traffic volume from short-term measurements to average daily traffic volume. The covid-19 pandemic has contributed to extensive social and economic anomalies worldwide. In addition to the health consequences, the impact on travel behavior on the transport network was also sudden, extensive, and unpredictable. Changes in the transport behavior resulted in different values of traffic volume on the road and street network than before. The article presents road traffic volume analysis in the city before and during the restrictions related to covid-19. Selected traffic characteristics were compared for 2019 and 2020. This analysis made it possible to characterize the daily, weekly and annual variability of traffic volume in 2019 and 2020. Moreover, the article attempts to estimate daily traffic patterns at particular stages of the pandemic. These types of patterns were also constructed for the weeks in 2019 corresponding to these stages of the pandemic. Daily traffic volume distributions in 2020 were compared with the corresponding ones in 2019. The obtained results may be useful in terms of planning operational and strategic activities in the field of traffic management in the city and management in subsequent stages of a pandemic or subsequent pandemics.

scholarly journals The Effects of ITS Application in Speed Management on State Road From Mali Pozarevac to Kragujevac

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Tomislav Petrović ◽  
Miloš Milosavljević ◽  
Milan Božović ◽  
Danislav Drašković ◽  
Milija Radović
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Quality Data ◽  
Transport Systems ◽  
Speed Limit ◽  
Accident Risk ◽  
The Road ◽  
Road Users ◽  
Speed Management ◽  
On The Road

The application of intelligent transport systems (hereinafter ITSs) on roads enables continuous monitoring of road users during a whole year with the aim to collect good-quality data based on which the more complex analyses could be done, such as monitoring of certain traffic safety indicators. Automatic traffic counters are one of the most commonly implemented ITSs for collecting traffic flow parameters that are relevant for traffic management on state roads in Republic of Serbia. This paper presents one of the possible ways to collect, analyze and present data on road users’ speeds using automatic traffic counters, where certain traffic safety indicators are analyzed in terms of road users’ compliance with the speed limit on the road section from Mali Pozarevac to Kragujevac. Based on the analyses of data downloaded from automatic traffic counters, it is observed that an extremely high percentage of vehicles drive at speed higher than the speed limit, indicating clearly to higher traffic accident risk, as well as to the need for a tendency to implement speed management on roads using ITS in the forthcoming period.

scholarly journals An Automatic Traffic Rules Violation Detection and Number Plate Recognition System for Bangladesh

2020 ◽  
Vol 19 (2) ◽  
pp. 87-98
Author(s):  
Raian Shahrear ◽  
Md. Anisur Rahman ◽  
Atif Islam ◽  
Chamak Dey ◽  
Md. Saniat Rahman Zishan
Keyword(s):  
Neural Network ◽  
Recognition System ◽  
The Road ◽  
Controlling System ◽  
Detection And Identification ◽  
Violation Detection ◽  
Computer Vision Technology ◽  
On The Road ◽  
Day By Day ◽  
Traffic Rules

The traffic controlling system in Bangladesh has not been updated enough with respect to fast improving technology. As a result, traffic rules violation detection and identification of the vehicle has become more difficult as the number of vehicles is increasing day by day. Moreover, controlling traffic is still manual. To solve this problem, the traffic controlling system can be digitalized by a system that consists of two major parts which are traffic rules violation detection and number plate recognition. In this research, these processes are done automatically which is based on machine learning, deep learning, and computer vision technology. Before starting this process, an object on the road is identified through the YOLOv3 algorithm. By using the OpenCV algorithm, traffic rules violation is detected and the vehicle that violated these rules is identified. To recognize the number plate of the vehicle, image acquisition, edge detection, segmentation of characters is done sequentially by using Convolution Neural Network (CNN) in MATLAB background. Among the traffic rules, the following traffic signal is implemented in this research.

scholarly journals Automatic traffic light controller for emergency vehicle using peripheral interface controller

2019 ◽  
Vol 9 (3) ◽  
pp. 1788 ◽  
Author(s):  
Norlezah Hashim ◽  
Fakrulradzi Idris ◽  
Ahmad Fauzan Kadmin ◽  
Siti Suhaila Jaapar Sidek
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Emergency Situation ◽  
Light Signal ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Light Area ◽  
On The Road

Traffic lights play such important role in traffic management to control the traffic on the road. Situation at traffic light area is getting worse especially in the event of emergency cases. During traffic congestion, it is difficult for emergency vehicle to cross the road which involves many junctions. This situation leads to unsafe conditions which may cause accident. An Automatic Traffic Light Controller for Emergency Vehicle is designed and developed to help emergency vehicle crossing the road at traffic light junction during emergency situation. This project used Peripheral Interface Controller (PIC) to program a priority-based traffic light controller for emergency vehicle. During emergency cases, emergency vehicle like ambulance can trigger the traffic light signal to change from red to green in order to make clearance for its path automatically. Using Radio Frequency (RF) the traffic light operation will turn back to normal when the ambulance finishes crossing the road. Result showed the design is capable to response within the range of 55 meters. This project was successfully designed, implemented and tested.

scholarly journals Reconfigurable SRTM System for Road Traffic in Kingdom of Bahrain

2016 ◽  
Vol 17 (4) ◽  
pp. 298-306 ◽  
Author(s):  
Wael El-Medany ◽  
Alauddin Al-Omary ◽  
Riyadh Al-Hakim ◽  
Taher Homeed
Keyword(s):  
Traffic Management ◽  
Road Traffic ◽  
Traffic Signals ◽  
Google Maps ◽  
Traffic System ◽  
The Road ◽  
Field Programmable ◽  
Hardware Description ◽  
Traffic Management System ◽  
On The Road

Abstract This paper presents reconfigurable hardware architecture for smart road traffic system based on Field Programmable Gate Array (FPGA). The design can be reconfigured for different timing of the traffic signals according to the received and collected data read by the different sensors on the road; the design has been described using VHDL (VHSIC Hardware Description Language). The SRTM (Smart Road Traffic Management) System has some more features that help passenger to avoid traffic jamming by sending the collected information through web/mobile applications to find the best road between the start and destination points, which will be displayed on Google maps, at the same time it will also shows the points of traffic jamming on Google maps. SRTM system can also manage emergency vehicles such as ambulance and fire fighter and also can send snapshots and video streaming for different roads and junctions to show the points of traffic jamming. The design has been simulated and tested using ModelSim PE student edition 10.4. Spartan 3 FPGA starter kit from Xilinx has been used for implementing and testing the design in a hardware level.

scholarly journals Young Driver Crashes with Cyclists: Identifying Training Opportunities

2019 ◽  
Vol 2673 (12) ◽  
pp. 679-689 ◽  
Author(s):  
Narelle Haworth ◽  
Matthew Legge ◽  
Divera Twisk ◽  
Jennifer Bonham ◽  
Tyler O’Hare ◽  
...  
Keyword(s):  
Traffic Management ◽  
Motor Vehicle ◽  
South Australia ◽  
Learning Opportunities ◽  
Driver Training ◽  
Novice Drivers ◽  
Young Driver ◽  
The Road ◽  
On The Road ◽  
Training Opportunities

To understand where driver training should focus to contribute to improving the safety of cyclists, this study compared bicycle-motor-vehicle (BMV) crashes involving novice drivers (under 25 years) with those involving experienced drivers in the Australian states of Victoria, Queensland, and South Australia. Novice drivers were involved in only a small proportion of BMV crashes and were not over-represented on a per-license basis. For both driver groups, most crashes happened on lower speed roads, at intersections, and during the day. In contrast to expectations, the distribution of types of BMV crashes differed little between experienced and novice drivers. The absence of major differences between experienced and novice drivers may result from learning opportunities being too infrequent in low-volume cycling countries, but this hypothesis needs further testing. A comparison between Queensland and Victoria showed three situations with a higher proportion of young driver crashes: in the evening in both states, Right through-opposing directions (Victoria only), and From footway-maneuvering (Queensland only). These patterns are likely to be indicative of young driver experiences. When their time on the road increases, so does their exposure to risk and to challenging driving conditions (e.g., driving in darkness). On the other hand, these patterns may also point to effects of legislation on young driver crashes, for instance cycling on the sidewalk in Queensland. The results suggest that training for novice drivers needs to supplement a wider strategy to improve cyclist safety (including infrastructure and traffic management improvements) and that training needs to be tailored to state-specific conditions.

Recentralisation Of Performance Of Urban Solid Waste Management Service Delivery In Lubage-Kampala Uganda

2020 ◽  
Vol 8 (8) ◽  
pp. 82-99
Author(s):  
Madinah Nabukeera
Keyword(s):  
Service Delivery ◽  
Solid Waste ◽  
Traffic Management ◽  
Solid Waste Management ◽  
Secondary Data ◽  
Capital City ◽  
Management Service ◽  
The Road ◽  
On The Road ◽  
The City

Kampala is a government seat and the capital city of Uganda. Kampala has been referred to as an executive slum due to its breakdown in service delivery. Currently the city is facing increased population growth, increased demand for services, changing consumptions, rising income which has caused urbanization that resulted into increased solid waste generated. While Kampala has a lot of challenges i.e., garbage, potholes, sewer service, construction, traffic management, corruption, health services, environment, stray livestock and management of markets. The main objective of this papers was to investigate service delivery during the recentralization of the city in line with garbage tonnage. Secondary data from Lubaga division used with content analysis to analysis the collected data. Results indicated that a small number of trips and fuel consumption in December compared to October and November 2016. The fall in trend of garbage collected could be as a result of some measures like burning which are adopted by some households in Rubaga division. It is also believed that some KCCA garbage vehicles remain on the road sides and this would make it hard for some people who are far from the road to bring their garbage.

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