International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017
p-ISSN: 2395-0072
www.irjet.net
Sensor Based Detection & Classification of Actionable & NonActionable Conditions of Roadways Aditya Patil1, Rajhans Sanas2, Amit Gawali3 , Asst. Prof Kanchan Varpe4 Computer Dept., RMDSSOE, Pune, India Professor, Dept. of Computer Engineering, RMDSSOE, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------4Asst.
1,2,3 Student
Abstract - Now a days smooth & quality road has become a need to improve timely & safe transport service. The approach of this paper is to focus on detecting the status and identifying actionable conditions of roadways based on data collected through a smartphone application. There are very few systems available that analyze roadway quality using accelerometer. This proposed system concentrates on the problem of detecting and classifying condition of roads so as to differentiate between actionable and nonactionable obstacles. The work of this paper finds different sort of information collected by sensors of smartphones under the sensor settings in which the smartphones are put in more exact spots and under precise means inside a moving vehicle to access its association with the real street smoothness The application is accessible on a social stage with the goal that users will be able to provide indirect contributions towards development of smart city. Because on the basis of collected actionable data, quality of Roads will be maintained.
traffic issues and one main solution is to boost the quality roads. There square measure several speed-breakers whose main aim is to manage the speed of vehicles so accidents will be avoid However, these streetbreakers have AN uneven distribution and therefore the heights of most of them don't seem to be scientifically tested. Potholes which are formed due to heavy rainfall, movement of heavy vehicles and by some other reasons, also act as a major reason for the fatal accidents and which may lead to human casualties. There are various surveys been carried out of which one survey gives a number that is more than 1,40,000 people lost their lives due to these dangerous accidents and out of that around twenty-two hundred I.e. 1.5% fatalities were due to the bad conditions of the roads, this survey was done by the ministry of road transport and highways.
Key Words: Classification, Machine learning, Artificial Intelligence, Database System, Data Mining
The above-mentioned problems need to be addressed, one of the cost-effective way is to allow the people to help in detect the potholes through their smartphones. The system provides a way to use the daily smartphone and the sensors within it so as to detect the potholes in order to improve the condition of roads and provide a way through which proper maintenance can take place.
1.INTRODUCTION India is one of the most populated country in the world and it is a fast-growing economy which is also known to have a gigantic network of roads. The dominant means of transportation in India today are roads. They carry almost ninety percent of country’s passenger and sixty-five percent of the goods. However, the conditions of roads are not so good as most of the roads are congested with poor surface quality and road maintenance is not up to the mark. Driving on the roads of India is a difficult task and potentially a life-threatening affair.
2. LITERATURE SERVEY K. Dresner et al. [2] The framework proposed a reservation-based framework for mitigating activity clog, the framework will consider this on the off chance that the autos are driven by specialists and they are thinking about the territory of crossing points as it were. In the first place, the framework has depicted a custom test system that measures the distinctive delays related with convergences while directing movement. Second, the framework determines an exact metric for assessing the nature of movement control at a crossing point. The blend of this test system and this metric, the framework demonstrate that the frameworks reservation-based framework are a few hundred times preferable at execution over that of the movement lights which are being utilized at the crossing point for the time being. Accordingly, it can easily deal with significantly heavier activity conditions than that of
Over the past few years, the quantity of vehicles that embrace every kind of modes of transport has enhanced to incredible level. This speedy increase within the quantity of vehicles has light-emitting diode to several issues like vast traffic jams and {also the} range of road accidents have also been enhanced. One amongst the most reason for such tie up is that the pathetic condition of roads. It’s important to seek out an absolute answer to those ever-increasing
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