(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 13, No. 3, 2022 263 | Page www.ijacsa.thesai.org IoT based Speed Control for Semi-Autonomous Electric On-Road Cargo Vehicle P. L. Arunkumar 1 Research Scholar, Dept. of Electrical Engineering, Faculty of Engineering Annamalai University, Annamalai Nagar, Chidambaram, Tamilnadu, India M. Ramaswamy 2 Professor, Dept. of Electrical Engineering Faculty of Engineering, Annamalai University Annamalai Nagar, Chidambaram, Tamilnadu, India T. S. Murugesh 3 Associate Professor, Dept. of ECE Government College of Engineering Srirangam Tiruchirappalli, Tamilnadu, India Abstract—The paper develops an investigative GSM enabled IoT based speed control scheme suitable for electric On-Road cargo vehicles. The design involves the bounding of the parameters that include the vehicle speed, motor speed, Truck payload, battery SoC (State of Charge), battery SoH (State of Health), real time navigation points using GPS, tire pressure, motor temperature and current consumption, driver fatigue detection and vehicle proximity detection which enters the system using GSM enabled wireless sensors and IoT based maps for arriving at the recommended speed. It engages a state-of-the-art Microcontroller based embedded system to govern the operation of the three-phase induction motor in accordance with the changes that the vehicle either experiences or becomes necessary for it to negotiate. It incorporates a close monitoring methodology for evolving a sequence of steps that enable the system to remain in operation over scheduled time frames. The results obtained from a simulation process carried out using embedded-c firmware code on ARM Core STM32 micro- controller exemplify the merits and illustrate the performance of the chosen vehicle in terms of its ability to be used in real world systems. Keywords—Electric vehicle; IoT; speed control; battery SoC; battery SoH; micro-controller; embedded system; GSM; proximity sensor; payload; real time navigation; GPS I. INTRODUCTION The emerging development in the vehicular technology refurbishes measures to confront pollution in numerous ways with a perspective to ensemble cleaner alternatives particularly with a need for improving the performance of the cargo traffic. The advances in the communication technology bring in a need to explore autonomous vehicles (AV) as an inevitable option and as a vital business archetype. The amalgamation of high-speed, durable, low-latency connectivity, and IoT technologies facilitate the transformation towards the fully smart Autonomous Vehicle (AV). A few of the implausible benefits of the AVs include enhancing the performance by lowering the fuel consumption, increasing the transport accessibility, reducing emission levels, and lowering congestion with the use of large-scale data/information from the connected sensors and devices [1]. The challenges involved in integrating the sensor technology with the transportation infrastructure for achieving a sustainable Intelligent Transportation System (ITS) augur efforts in enabling a fully operational and cooperative ITS environment [2]. Off late the cargo segment invites a greater attention and the related vehicle systems consider the on-road traffic on a larger framework. It demands the electric vehicles to be operated at an optimal recommended speed with a purpose to ensure the safe and secure state of the battery over a longer period [3]. There can be one or more intelligent autonomous systems in the case of unmanned, fully automatic intelligent vehicles, which continuously monitor the vehicles and control the speed of the vehicle, this paper explores the semi-automatic multi- modal speed control within the recommended limits for employing their usage in real world systems, following a structured flow with Related Works, Research Gap, Proposed Work with its methodology, simulation and unite testing with results and conclusion. II. RELATED WORK The new and upcoming technologies in the transportation and power sector of Electric vehicles that offer huge benefits in terms of the economic and environmental factors have been reviewed by Ayob et al. (2014). A comprehensive review and evaluation of several types of electric vehicles and its associated equipment in particular battery charger and charging station has been outlined and a comparison on the commercial and prototype electric vehicles in terms of the electric range, battery size, charger power and charging time carried out [4]. A study to shed light on future opportunities and the possible hurdles associated with autonomous vehicle (AV) technologies has been studied by Bagloee et al. (2016)[5].The evolution of the Internet of Things (IOT) relating to its use in the automotive sector has been discussed by Bajaj et al. (2018) to provide a perspective on the various areas that include the connected car services/applications, Vehicle communications, IoT in Intelligent Transportation, IoT based Supply Chain