Mobile Crowd Sending in Traffic Monitoring

Objectives: To propose a technology to sense the environment without using the dedicated architecture for sensing. Methods/Statistical Analysis: Mobile crowd sensing is a new emerging technology in the field of wireless sensor network environment monitoring. Wireless sensor network monitoring enters a new paradigm with mobile crowd sensing. The technology makes the user to participate in the event and user’s mobile device is used to communicate the data in different environment. The sensing network uses the mobiles of user to collect the data. In our application discussed here we are monitoring the traffic in public transport system. We use the public’s opinion to collect data by an application in their mobiles. Through we are able to know the traffic in road, crowd in the buses, and quality of buses. Findings: We also compared this with normal wireless sensor networks used for monitoring the transport in the roads on comparison we find the MCS provides better sensing than normal wireless sensor networks in the case energy management, memory management and performance improvement. Application/Improvements: The technology can be improved or established in train transport and other public place cleanliness monitoring.


Introduction
Various researches in wireless sensor networks give the difficulties in maintaining the nodes in a wake mode all the times (Figure 1). Wireless sensor networks have problem of power discharge and node damage by external sources. By immunizing the technique of mobile crowd sensing. [1][2][3] We make user to participate in the process which makes the nodes of sensing to be powered all the times and nodes won't be damaged by external forces. The main threat in mobile crowd sensing is integrity of the information given and the making users to participate in Mobile crowd sensing. Here, big task involves in inviting the users to use this service. Here we need to provide various complimenting methodology to users various works are upcoming these days in Mobile crowd sensing. [4][5][6] The research works monitors the traffic in Road transport, crowdedness in different times in public transport, availability of buses or train at correct time and also air pollution in the particular area in different times and mainly Hygienic conditions in bus and train station.

Methodology and Proposed System
We prepare a technique here for public transport monitoring. We are making user to install the app to give inputs regarding the public transport. The user provided with some complimenting techniques to update their inform about quality their journey ( Figure 2). Here the user can access the application with user ID created. [7][8][9] The user can login to application or software using their mobile device. They are supposed to provide needed information in the form in time to time basis. In case of time to time basis be can login and post various information like form given below.  Here the software installed makes the user to enter the data or some typical process like air pollution and habitat monitoring involves automatic detection of environment using various sensors: The data sensed are transmitted or saved to cloud services and made available to all internet users. The user, who is interested about the particular habitat or travelling experience, will browse to see the reviews by previous users ( Table 1).
The proposed system enable user to choose traffic free transport, crowd less vehicles, and to follow the timings of buses correctly. The user does not need specialized architecture for using the service. The power supply problem also avoided here, as the users will take care of their own devices. We can use various types of uses feedback regarding the transport quality.

Results and Discussion
Here we can categorize the input into two types' nature conditions and customer experience mainly we are using typical sensors to measure the environment natural characteristics using the sensors available in the mobile (Figure 3). The sensors like moisture sensors and noise pollution monitoring sensor are used to fetch the data automatically and summarize the data and provide information about the traffic conditions. 10 In case of Railways this type of sensors are used to monitor the hygienic condition of toilets avail in the train ( Table 2). The Mobile crowd sensing is performing both automatically and manually to provide needed data.

Conclusion
Mobile crowd sensing is a new emerging technique used in habitat monitoring where even tourist can be monitored, without any additional infrastructure. It mainly Creates new way in determining the opinion of the crowd. It is used to monitor the environment like road transport, train and infrastructure collapsed environment.
Comparing to the existing Wireless sensor networks technique, it offers better performance in terms of power supply, reliability, range of communication and secured communication. Apart from some creditability issued by users providing information, Mobile crowd sensing is better system which communicates the information about the environment.