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The automated toll collection system is a relatively recent piece of technology that has the potential to collect tolls in a manner that is both more efficient and expedient. It is an excellent alternative to the requirement of having to wait for a considerable length of time at manual toll plazas. A toll collection system that is based on RFID technology was built with the help of the Raspberry Pi. This system is fully automated. This was done in order to reduce the amount of time and gasoline that was squandered. The city's registration office issues RFID cards, which are one-of-a-kind identifiers, to each and every vehicle in the city. These cards can be read using radio waves. When a vehicle that has such a unique ID drives up to a toll plaza, the RFID card reader that is attached to the toll plaza will read the card and then send the unique ID of the vehicle to the Raspberry Pi. As a direct consequence of this, the processor carries out its duties and deducts an established sum of money from the prepaid card. If the card ID being used is valid and has sufficient balance, the central processing unit will issue a command to the servo motor, instructing it to begin operating and open the gate. This will make it possible for the car to move through the space. If the card is not genuine or if there is not enough money on the card, it will ask you to move the vehicle to the lane where manual tolls are collected, and you will be required to do so. Additionally, a notification will be sent to the mobile number that was registered.
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IoTDI '19: Proceedings of the International Conference on Internet of Things Design and Implementation
We propose to demo an IoT-enabled highway safety pre warning system which can inform the drivers of the danger ahead. In this system, we use road side unit (RSU) installed on highway guardrail to collect motion information from the on board unit (OBU) .
Due to the rapid worldwide growth in the number of vehicles on the road, traffic problems are bound to exist. Hence, the implementation of Intelligent Transportation Systems (ITS) to obtain traffic information from roads is becoming an urgent necessity. .
Path planning for automated driving vehicle in wide, unstructured toll gate is a difficult task while several surrounding vehicles are driving with almost random behavior. To deal with this problem, we propose a decision tree based method to control speed .