Signal Warning Detector (SWAD) for Sustainable Working Environment at Highways
Authors:   Research Centre of Unmanned Vehicles (RECUV), Faculty of Mechanical and Manufacturing Engineering,  Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Jumari Mohamad Zhairul Iqumal , Hassan Suhaimi ,   Research Centre of Unmanned Vehicles (RECUV), Faculty of Mechanical and Manufacturing Engineering,  Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Nadir Mohamad Amirul Mat ,   Research Centre of Unmanned Vehicles (RECUV), Faculty of Mechanical and Manufacturing Engineering,  Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Mohd Yusof Norbazlan ,   Center of Excellence, Projek Lebuhraya Usahasama Berhad, Menara Korporat, Persada PLUS,   Persimpangan Bertingkat Subang, KM15, Lebuhraya Baru Lembah Klang, Petaling Jaya, 47301, MALAYSIA, Ikhsan Mohamad Shah ,   Traffic Safety, Projek Lebuhraya Usahasama Berhad,   Pejabat Seksyen S3, PLUS, Yong Peng Utara, 83700, MALAYSIA, Mohd Nor Azman Muhammad Azimuddin ,   Research Centre of Unmanned Vehicles (RECUV), Faculty of Mechanical and Manufacturing Engineering,  Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Mohd Sarif Muhammad Azim Farhi ,   Research Centre of Unmanned Vehicles (RECUV), Faculty of Mechanical and Manufacturing Engineering,  Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Abdul Rashid Muhammad Amir Raauf ,   Research Centre of Unmanned Vehicles (RECUV), Faculty of Mechanical and Manufacturing Engineering,  Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Nik Aziz Nik Nazmi Amir ,   Research Centre of Unmanned Vehicles (RECUV), Faculty of Mechanical and Manufacturing Engineering,  Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Yusof Mohd Sallehuddin ,   Research Centre of Unmanned Vehicles (RECUV), Faculty of Mechanical and Manufacturing Engineering,  Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Ismon Maznan ,   Research Centre of Unmanned Vehicles (RECUV), Faculty of Mechanical and Manufacturing Engineering,  Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Zakaria Hanis ,   Research Centre of Unmanned Vehicles (RECUV), Faculty of Mechanical and Manufacturing Engineering,  Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Azmi Mohd Azham ,   Research Centre of Unmanned Vehicles (RECUV), Faculty of Mechanical and Manufacturing Engineering,  Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Marwah Omar Mohd Faizan ,   Research Centre of Unmanned Vehicles (RECUV), Faculty of Mechanical and Manufacturing Engineering,  Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA
Published: July 2022

Work environment in highway construction are hazardous due to the particular dynamic and limited workspace availability. Within highway work zones, a variety of encounters involving employees, passing cars, and moving construction equipment exists, creating risky situations that may result in injury or death. Active approaches, such as the deployment of intrusion detection and alert devices in highway employees and the construction and maintenance of transportation infrastructure, can be effective in reducing these unforeseen situations. The study focus on development of the emergency signal system for the safety of highway workers was carried out to prevent accidents or danger from happening in the straight emergency line on the highway by developing a system of hazard detectors using a distance sensor. Therefore, the development of the Signal Warning Detector (SWAD) for the safety of highway workers was carried out to prevent accidents or danger from happening in the straight emergency line on the highway by developing a system of hazard detectors using a distance sensor. The distance sensor sensed the target at a certain distance and transmitted the signal emitted through the siren device and the emergency lamp mounted on the PLUS Malaysia Berhad (PLUS) car, while the signal was also transmitted to the receiver to create a danger signal to alert the worker by vibrating the vibrator motor located at the worker's hand. The study findings show that commercially accessible technologies have the ability to improve employee health in the work zone by providing early signal warning as vibration. This study adds to the knowledge base by offering methods for the collection and application of intruder sensing technologies for active protection in the work zone. The data produced in the result reveals that by performing the study, it was possible to find the best parameter setting for the Danger Signal Detector system. The farthest distance observed was at 14° of angle, 2.2 meter distance from center, and 1.8 meter sensor height.