A self-driving bus is a robotic vehicle, which is designed to travel between destinations without the need of a human operator. It combines software and sensors to control, direct, and drive and uses artificial intelligence (AI) software, RADAR, light detection & ranging (LiDAR), cameras and several other sensors for operation. These autonomous systems create & maintain an internal map of their surroundings, based on a widespread array of sensors. Self-driving buses use less battery and consume less gas that results in less pollution. This adds benefits to make it appropriate for environment.
According to study, “Self-Driving Bus Market by Level of Automation (Level 3, Level 4, and Level 5) and Component (Hardware, Software, and Services): Global Opportunity Analysis and Industry Forecast, 2020-2026”. Some of the key companies operating in the global self-driving bus market are AV Volvo, Volkswagen AG, Continental AG, Tesla, Scania AB, Proterra, Hyundai Motor Company, Daimler AG, Hino Motors, Ltd., and Navya.
Based on level of automation, self-driving bus market is segmented into level 3, level 4, and level 5. Level 3 autonomous vehicles are proficient of environment detection and can make informed decisions such as accelerating or decelerating past a moving vehicle based on the data collected by sensors from the environment. However, vehicles with level 3 automation require human override and must remain alert or ready to take control. The major difference between level 3 automation and level 4 autonomous driving is that level 4 vehicles can take control in case if there is a system failure or if things go wrong while driving. In addition, there is no requirement of human override to control these vehicles. However, driver can take up the choice to manually override. Additionally, level 5 automation eliminates the need for a steering wheel and gas or brake pedals. In addition, based on component, market is segmented into software, hardware, and services. Software for self-driving buses consists of image processing, AI, threat detection, face recognition, and scattered laser beam detection. Hardware segment includes processors, sensors, and actuators. The sensors used in driverless cars consist of cameras, ultrasonic sensors, LiDAR, and RADAR. Additionally, services include maintenance of vehicles to function well after using, training to operate the vehicles in a proper way, and compliance with testing & design criteria required to launch a self-driving bus. These services also cover full vehicle homologation & testing, Federal Communications Commission (FCC) compliance and cellular regulatory & carrier approvals.
The self-driving bus market is driven by growth in connected infrastructure, followed by reduction in traffic congestion due to improved safety. However, data management challenges and high manufacturing cost may impact the market. Moreover, growth in development of smart cities is a key opportunity for market.
Based on geography, the North-America is a leading region in global self-driving bus market owing to active participation from governments coupled with positive consumer acceptance in the region. Whereas, the Asian-Pacific and European regions are estimated to exhibit substantial growth rate due to launch of driverless bus on the roads and increase in investment by the government of various countries for development of self-driving buses over the forecast period. In near future, it is anticipated that the global self-driving bus market will be reached at rapid pace on account of growth in connected infrastructure for automobile during the forecast period.
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Ankur Gupta, Head Marketing & Communications