Smart solution to detect/prevent bridge accident

Due to increasing and expansion of logistics in Sultanate of Oman, transportation becomes one of main support for logistics in country. The height vehicles accidents become a serious issue that have huge impact on infrastructure and human lives. As the number of long vehicles increasing the over height accidents become more and more. The aim of this project is to propose a smart-solution to minimize the accidents/collision of vehicles over height that crosses the bridges and intersections in Oman. The vehicle driver can be notified by smart solution about his vehicle status. The system is proposing smart alarming solution to minimizing number of accidents and its effect. Also, by using smart system it will be easy to investigate current method to detect the accident and evaluate the proposed solution. The design of the system is to IoT to build complete system can detect the vehicle height and warn the driver before reach the bridge. Passive infrared sensor, IR sensor will detect the height and motion of vehicles before cross the bridge or intersection. And will send a mail or SMS to the cloud to inform the relative authorities. An Arduino is used to program and control the system. On the other hand, CCTV is taking place in system by recording and capture plate number of over height vehicles. The data gathered from the system are stored and backup kept in server whenever required. Different types of methodologies have been chosen and applied in the system are Modified waterfall, Agile, and waterfall methodology. Modified water fall methodology selected as it has different strategies that will assist in managing the challenges in case they come up and maximizing the utilization of resources and time. The system is help full to reduce the over height accidents and it will be effective for ROP and Ministry of transportation and communication for study purpose and data gathering.

Smart Vehicle Automation Using Internet of Things

The field of automobile automation, though relatively new, has taken over the world by storm with the advent of driverless cars and smart vehicles. While these vehicles provide various automation features like autopilot, auto cruise control and automatic braking which enhance the driving experience and ensure safety, there are not many provisions for further safety, driver protection and problem prevention. Keeping this in mind, we have proposed a very inexpensive model to monitor the driver’s state and the in-vehicle safety, with an automatic braking system, using various sensors—gas (detecting highly poisonous toxic gases), IR (seatbelts), alcohol (if the driver is drunk), temperature/flame (for fire inside and temperature recording), humidity, LDR (automatic headlights) and ZIGBEE (automatic braking). A 12 V DC motor (wheel) controlled by L298N. The vehicle status and the motor stop reason is displayed in a basic LCD display. The data collected in all these sensors is displayed in the cloud for analyses. Arduino was used for interconnection, automation and system control. NodeMCU for cloud connection. The whole system is powered by a 5 V power source.

A new measurement for yaw estimation of land vehicles using MARG sensors

Purpose The magnetometer measurement update plays a key role in correcting yaw estimation in fusion algorithms, and hence, the yaw estimation is vulnerable to magnetic disturbances. The purpose of this study is to improve the ability of the fusion algorithm to deal with magnetic disturbances. Design/methodology/approach In this paper, an adaptive measurement equation based on vehicle status is derived, which can constrain the yaw estimation from drifting when vehicle is running straight. Using this new measurement, a Kalman filter-based fusion algorithm is constructed, and its performance is evaluated experimentally. Findings The experiments results demonstrate that the new measurement update works as an effective supplement to the magnetometer measurement update in the present of magnetic disturbances, and the proposed fusion algorithm has better yaw estimation accuracy than the conventional algorithm. Originality/value The paper proposes a new adaptive measurement equation for yaw estimation based on vehicle status. And, using this measurement, the fusion algorithm can not only reduce the weight of disturbed sensor measurement but also utilize the character of vehicle running to deal with magnetic disturbances. This strategy can also be used in other orientation estimation fields.

Devotional response that arises in the agreement between the captain gold driver with the TPI grab's participants

The emergence of the phenomenon of Taxi Online / Motorized Vehicles Not in Route Like the welcome for consumers of financial institutions, especially the ease of procession of registering vehicles for online taxis certainly adds to the passion of the community to run this business, unfortunately not only the benefits that may be obtained by financial institutions business activists consumers but also risks, Bisnis Taxi Online as the application seller does not require registration of vehicle status in detail, regarding whether the vehicle registered is an object of fiduciary guarantee or not. Responding to the need for a vehicle with a secure credit system, Grab as one of the giant companies in online transportation mode, has raised / collaborated with companies known as Indonesian Transportation Technology / TPI Preferred Grab's Partner, as a driver / driver business partner by offering ease of ownership vehicles for taxi purposes online through the Gold Captain program.

Performance Analysis of LPWAN Using LoRa Technology for IoT Application

This paper was dedicated to study the performance of an Internet of Things (IoT) application using LoRa Wide Area Network (LoRaWAN). LoRa is a Low Power Wide Area Network (LPWAN) technology developed for IoT applications specifically. Due to the facts that LoRa is a new product, there are questions about its reliability. Hence, a conclusive experiment has been made. The experiment conducted to get an insight to LoRa received signal strength (RSSI) and packet loss. The analysis also includes a measurement of the application Signal to Noise Ratio (SNR) between the transmitter and receiver. The results of the experiment show that with a higher spreading factor, LoRa end device provides more immunity against multi-path and signal fading. The proposed IoT application based on this LoRa technology is for autonomous vehicle status information transmission and intervehicle communications, specifically deployed in UiTM Autonomous Vehicle 1 (UiTM AV1).

Performance Analysis of LPWAN Using LoRa Technology for IoT Application

This paper was dedicated to study the performance of an Internet of Things (IoT) application using LoRa Wide Area Network (LoRaWAN). LoRa is a Low Power Wide Area Network (LPWAN) technology developed for IoT applications specifically. Due to the facts that LoRa is a new product, there are questions about its reliability. Hence, a conclusive experiment has been made. The experiment conducted to get an insight to LoRa received signal strength (RSSI) and packet loss. The analysis also includes a measurement of the application Signal to Noise Ratio (SNR) between the transmitter and receiver. The results of the experiment show that with a higher spreading factor, LoRa end device provides more immunity against multi-path and signal fading. The proposed IoT application based on this LoRa technology is for autonomous vehicle status information transmission and intervehicle communications, specifically deployed in UiTM Autonomous Vehicle 1 (UiTM AV1).