An IoT-based system for collision detection on guardrails

Abstract : Wireless Sensor Networks (WSNs) have been employed in a wide range of applications due to the low-cost and ease of installation features. One of the applications is in the road safety and highways, in a wide range of scenarios. In this paper, an IoT-based system for collision detection on guardrails is presented. The developed system implements an IoT standard stack in order to provide the connectivity and interoperability of the network devices. Also a theoretical analysis for the energy consumption is presented and simulated. A Markov Chain model is used to observe the energy consumption of the proposed algorithm in each node. An experimental evaluation is also carried out in order to check the theoretical analysis and it was based on the real energy consumption of the developed nodes. At last, a full deployment on a highway of the developed system allowed a full evaluation of the connectivity and performance of the whole system.

 EXISTING SYSTEM :

 ? The IoT technology is a growing up technology for wireless remote transmission data from one place to another place. ? The data which are transmitted through IoT platform are generally stored in the cloud space. ? The cost amount requirement for installing such applications and systems have become very low when comparing to the existing design system. ? These kind of sensors are employed in the proposed work as a switching devices to enable the surveillance system to operate on certain specify time alone. ? Therefore the overall cost of the proposed system gets reduced when it is connected over the existing systems.

 DISADVANTAGE :

 ? The design of the network is a challenging problem and requires a careful consideration of the node’s hardware circuitry. ? The ED node implements a full Zig-Bee compliant protocol stack, enabling the developed hardware to interconnect to different devices, solving the connectivity problem. ? The preservation of the road infrastructures has become an important issue to the road safety and structural monitoring systems industry, aiming to to reduce the maintenance costs and also to increase the drivers’ safety. ? This is a critical situation and the reliability of the connection plays an important role to ensure the ontime delivery of the data and issue proper alerts accordingly.

 PROPOSED SYSTEM :

 • The proposed method is designed to identify the collision detection on the poles to alert the maintenance team to take immediate action against the faulty poles. • When it comes to the application of collision detection, the proposed model is employed with an IoT architecture for transmitting the collected data. • In the proposed work the detection system is connected over the transmission poles of collision suspected area to visualize the place when there is a need. • A traffic sign sensing system based on computer vision technology was proposed to understand the situation of the road signal for self-driving cars.

 ADVANTAGE :

 • The energy consumption model used, the sensor acquired data and the RF range tests performed on the real scenario revealed a good system’s performance in detecting the collisions against the guardrails. • However, all the above mentioned systems do not provide an energy-efficient IoT-based solution for collision detection on guardrails, which is the focus of this paper. • These interfaces can be used to query the stored data, register newly installed WSNs or to notify the desired entities when a collision occurs. • The system was modeled and simulated according to the materials’ characteristics used in the guardrails, mainly the damping properties, aiming to find the best sampling rate to be used by the sensor nodes.