In the present scenario, due to urban development and population growth,the usage of transportation has increased significantly. This has caused serious issues oftraffic congestions, accidents, lack of lane discipline, etc. Due to this reason, theGovernment of India has come up with a new initiative of building 100 smart cities.The main aim of smart cities mission is to build well-sophisticated roads andinfrastructure to accommodate all the commutation needs. This project also helps toconstruct smart pavements for the future use of introducing autonomous vehicles tomake traveling safer and comfortable for the people. The transportation network insmart cities uses various technologies like sensors and data acquisition devicesintegrated with networks to monitor the movement of vehicles on the road. The dataobtained from sensors is processed by DAQ devices to provide surroundinginformation to network and vehicles to travel without any problem of delay. Theprocessed data is huge to store in local hardware and difficult to share between thenodes. The captured data from the monitoring devices is saved for future uses. BigData analytics is used to assess and filter out crucial elements of the processed data andit is stored for future use. The predictions of traffic are made by using variousanalytical methods. This chapter focuses on the technologies being used for theintegration of sensors with DAQ devices via wireless communication technologies inthe transportation network. The integrated network of sensors and DAQ devices isimplemented in traffic management, lane discipline, parking management, environmentassistance systems, reduces pollution and accidents.
IoT-based Integration of Sensors with DAQ Systems in Intelligent Transport Systems
2021
Article/Chapter (Book)
Electronic Resource
English
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