Drivers driving partially automated e-vehicles in smart city: employment

IT sector employment is saturated now!
Arresting unemployment in India is important . At the same time initiative taken to develop smart city and electric vehicle will pave the path to AI and partially autonomous vehicles.
Implementing AI in e-Vehicles is easier and carrying cost is also lower than oil engine run models.
Driverless vehicles will increase cyber hazards along with unemployment.
Smart City, e-vehicles will push further driver operated partially autonomous vehicles to keep GDP growth above 7% considering technology, infrastructure and employment frontier.
There is a shortage of 2.2 million drivers and providing driving skills can increase employment to around five million people. In fact Driverless vehicles will increase cyber hazards along with unemployment.
Autonomous vehicles up to level 2 or 3 will need drivers at the same time benefit to technology companies, engineers, other stake holders. Importantly supporting test and development of partially autonomous vehicles will help Indian companies to keep their development space at par with other countries. Recent announcement of government to support e-vehicles will push this development further.
India is not yet ready for this but partially autonomous vehicles yet, will reduce accidents, pollution and comfort of drivers, the confidence of drivers will be increased as well. Electric vehicle initiative is supportive of this partial autonomous control that will change transportation system in future with existing benefits.
90% of all accidents are caused by human error so autonomous vehicles with four deployments and testing supports from government can improve the transportation system.
- Basic automated mobility
In India, new vehicles are already with this automated mobility. Such as ABS, electronic stability control, electronic power steering, and electronic vehicle architecture system are common. ABS helps vehicles remain steerable during braking, wheel speed system detects slip to help ABS system, vehicle steering system, onboard electrical system and vehicle control system link various components and handles the distribution of energy and information.
2. Level One
A driver assistance which is level one of automation can help to monitor entire surroundings by millisecond frequency, detect imminent hazards and can respond or intervene. These features enhance driving comfort and safety like lane markings, road signs, car detection and other traffic signals using cameras. Computer vision, deep learning technology have an important role here. Sensors, such as radar, Lidar, video, ultrasonic will help to take over control from driver to avoid monotonous and tedious tasks can be taken over for comfort. Sensor fusion using Extended and Unscented Kalman filter is used for this. Video camera, WiFi connectivity inside and outside vehicles can predict few future road and traffic conditions. Vehicles with sensors can increase accuracy, response time and effectiveness above 97.5% or higher than human level. Applications like blind spot detection, rear cross traffic alerts, forward collision warning, line departure warning, overhead clearance assistance, remote parking, driver drowsiness detection, radar guided adaptive cruise control or vehicle’s longitudinal and lateral guidance are already augmented with vehicles on Indian road
3. Level two
This is the second level of autonomous that takes over control in certain situations like automated valet parking, automatic emergency braking, lane keeping, regular high situations and traffic jam are available in India with few high-end models.These relieve the stress of traffic jams, parking in tight spaces and handling challenging driving situations. Here brakes, accelerators and steers control is taken over from driver to change lane, speed, acceleration, and steering angle.
4. High definition map can enhance comfort and safety. HD map has an accuracy of 10 centimeters instead of present map’s accuracy of the meter.
