International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022
p-ISSN: 2395-0072
www.irjet.net
TRAFFIC FORECAST FOR INTELLECTUAL TRANSPORTATION SYSTEM USING MACHINE LEARNING Prof. Asha1, Almas Safora2 Dept. of CSE , Guru Nanak Dev Engineering College, Karnataka, India ----------------------------------------------------------------------***------------------------------------------------------------1,2
Abstract - Traffic regulation has long been a problem.
congestion. Traffic congestion has direct and indirect effects on a country's economy and the health of its citizens. With very rough prior information about all of the above, and many other everyday situations that may affect traffic, the driver or passenger can make an knowledgeable conclusion. I can do it.
The modern world requires skill. Cars are one of the main ways to improve your skills today. Smart His transport system is also known as an intelligent transport system that uses communication and information technology to find solutions to traffic management problems. Intelligent traffic systems represent a major problem in transportation. ITS is a program that uses advanced technologies such as sensors and communications to improve traffic efficiency. Some of the problems such as traffic congestion and low security can be solved by this intelligent traffic system using the latest traffic management technology. ITS has been advanced through the use of information, control, and electronic technologies based on wireless and wired communications. Speeding is now a major issue for traffic management systems that curb this problem. The Doeffler phenomenon is used to measure velocity.
1.2 Objective Prediction of the traffic information must be done by checking the past records. 2. Execute the planned procedure. 3. Evaluate the matrix for the data set. 4. Split the dataset into training and testing. 5. Analyze changed ML procedures.
Key Words: Traffic, vehicle, intelligent, transport,
1.3 Scope
etc
The road network is the support of any nation's growth assembly. Free flow of road traffic is important for highspeed connections and shipping structures. In smart cities, streets are equipped with sensors to analyze traffic flow and volume. Accurate road traffic movement information is urgently needed for different groups of road users such as commuters, car users and public transport. This information helps road users make better travel decisions, improve traffic efficiency, reduce pollution and overcome traffic congestion. The purpose of congestion forecast is to provide timely evidence about road traffic overcrowding. Traffic congestion prediction (TCP) is growing in popularity due to the speedy expansion and adoption of smart transportation (STS) systems.
1. INTRODUCTION Traffic control and management has become more datadriven. [2], [3]. However, many traffic estimate systems and models previously exist. Most of them use a flat traffic model, but still fail to some extent due to the large size of the data set. The concept of deep learning has recently attracted many people, including academics and businessmen, due to its ability to address classification problems, natural language understanding, dimensionality reduction, object recognition, and motion modeling. DL uses the concept of multilayer neural networks to detect data-specific features from lowest to highest levels [4]. They can categorize a huge amount of assembly in the data, which ultimately helps them imagine the data besides draw meaningful conclusions. His ITS department and most of the researchers in this field are also involved in developing self-driving cars that can make transportation systems more efficient and decrease the risks to human lives. The advantage of the integration of this idea is that it also saves time.
1.4 Limitation
The current tools does not give accurate way of predicting the traffic to the users.
It does not take many factors for predicting the traffic.
Due to lack of accurate information lots of time vehicle needs to be travelled longer length and also it can stuck in traffic conditions.
1.1 Statement of the Problem The traffic environment includes everything that can affect traffic on the road, such as traffic lights, accidents, rallies, and even road repairs that can cause
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