SMART TRAFFIC CONTROL SYSTEM USING YOLO-MODEL
- Project Research
- 1-5 Chapters
- Abstract :
- Table of Content: Available
- Reference Style: APA
- Recommended for : Student Researchers
- NGN 3000
Background of the study
Traffic congestion is a major problem in many cities, and the fixed-cycle light signal controllers are not resolving the high waiting time in the intersection. We see often a policeman managing the movements instead of the traffic light. He see roads status and decides the allowed duration of each direction. This human achievement encourages us to create a smart Traffic light control taking into account the real time traffic condition and smartly manage the intersection (Dimitrakopoulos et al., 2010). To implement such a system, we need two main parts: eyes to watch the real-time road condition and a brain to process it. A traffic signal system at its core has two major tasks: move as many users through the intersection as possible doing this with as little conflict between these users as possible. Video is a powerful medium for conveying information and data is plentiful wherever there are cameras (Lin et al., 2014). From dash, body, and traffic cams, to YouTube and other social media sites, there is no shortage of video data. Interesting applications that exploit this are ripe for development. One particularly compelling domain where video analytics has tremendous potential is in automated traffic control and public safety systems (Gajda et al., 2001).
1.2 Statement of the problem
The mere presence of automated traffic control systems, like red-light and speed cameras, has been shown to have a positive effect on the reduction of traffic violations. A worldwide analysis of 28 studies has concluded that such systems have reduced crashes by 8% to 50%. Carnis and Blais showed in their research that the initial response to France’s implementation of their automated speed enforcement program (ASEP) was a 21% reduction in fatal car accidents and a 26% reduction in non-fatal car accidents (Lin et al., 2014).
YOLO is a fast, accurate object detector. The biggest advantage of using YOLO is its superb speed – it's incredibly fast and can process 45 frames per second. YOLO also understands generalized object representation. This is one of the best algorithms for object detection and has shown a comparatively similar performance to the R-CNN algorithms (Lin et al., 2014). YOLO algorithm employs convolutional neural networks (CNN) to detect objects in real-time. As the name suggests, the algorithm requires only a single forward propagation through a neural network to detect objects (Dimitrakopoulos et al., 2010). This means that prediction in the entire image is done in a single algorithm run.
1.3 Objective of the study
The goal of this work is to improve intelligent transport systems by developing a Self-adaptive algorithm to control road traffic based on deep Learning. This new system facilitates the movement of cars in intersections, resulting in reducing congestion, less CO2 emissions, etc.Hence, the specific aim of this study is on smart traffic control system using YOLO-model.
1.4 Significance of the study
This study will enable transport and road management agencies to see the need to utilize YOLO-model in monitoring and controlling traffic on the road. Also, this study will serve as reference material for further studies.
1.5 Scope of the study
This study focuses on smart traffic control system using YOLO-model only.
Related Project Materials
VALUE ADDED TAX IN NIGERIA: CHALLENGES AND ECONOMIC IMPLICATION
ABSTRACT
The study is to determine the role of the impact of value added tax (VAT) on Nigeria growth and development. The objective...
HYPOTENSIVE ACTIVITY AND TOXICOLOGICAL PROFILE OF STEM BARK EXTRACT OF SYZYGIUM GUINEENSE (Willd, D.C. Myrtaceae) IN LABORATORY ANIMALS
ABSTRACT
Hypertension of unknown cause is called essential or primary hypertension while hypertension of a known cause is called secondar...
INFLUENCE OF ESBS RADIO ON THE ECONOMIC EMPOWERMENT OF AGBANI COMMUNITY IN ENUGU STATE
Abstract
This study is aimed at finding out hoe ESBS Radio has helped in the economic empowerment of Agbani community and to find out the...
EFFECT OF ANTHROPOGENIC PRACTICES ON AGRICULTURAL ACTIVITIES IN PARTS OF BWARI AREA COUNCIL ABUJA, NIGERI
ABSTRACT
This study was carried out to evaluate effects of anthropogenic practices on agricultural activities in parts of Bwari area coun...
DETECTION AND PREVENTION OF FINANCIAL FRAUD IN NIGERIAN BANKS
BACKGROUND OF STUDY
Nigerian banking sector continues to be a vital part of the economy. Even since the inception of the...
AN ASSESSMENT OF POLITICAL ADVERTISING ON ELECTORATES IN THE 2015 PRESIDENTIAL ELECTION
Abstract
World over, political aspirants adopt the use of diverse campaign strategies such as political...
ANALYSING BUILDING MATERIALS AND CONSTRUCTION METHODS AS A MEANS TO LOW INCOME HOUSING IN NIGERIA
EXCERPT FROM THE STUDY
Inexpensive housing can only be defined broadly since people's perceptions of what is affordable vary greatly...
THE EVALUATION OF CERAMIC WASTE AS PARTIAL REPLACEMENT OF COARSE AGGREGATE IN HOT MIX ASPHALT
ABSTRACT The study investigates the suitability of ceramic waste aggregate (CWA) as partial replacement for coarse aggregate in asphalt concrete. I...
THE IMPACT OF TOURISM IN ALLEVIATING POVERTY IN NIGERIA
INTRODUCTION
Tourism is a short term movement of people to destination outside their residential areas...
THE IMPACT OF TEACHERS MOTIVATION ON THE IMPROVEMENT OF QUALITY TEACHING AND LEARNING IN PUBLIC PRIMARY SCHOOL
Abstract
The study aimed at exploring the impact of teachers‟ motivation on the improvement of quality teaching and lear...
