In numerous ways, the age of the autonomous vehicle(AV) has begun. Most of the cities are entering partnerships with companies to allow testing on public roads, the U.S. Department of Transportation released its guidance on AVs and people are buying Teslas that include an autopilot point. It isn’t too late, yet, for cities that are not yet part of this surge to prepare themselves for the arrival of larger scale deployment. Let us check out the major challenges of autonomous vehicles and their solutions to overcome them.
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Challenges of Autonomous Vehicles and Solutions
Traffic Management
AV evangelists frequently relate to the business inflow effectiveness that could be created by self- driving vehicles. Cars that communicate with one another can avoid accidents and travel much more nearly together, maximizing space. Much of the current AV discussion, still, has been concentrated on particular vehicles. There’s enormous implicit for self- driving trucks in platooning, the concept for big vehicles to drive in caravans extremely close to each other, or self-driving shuttles that can help solve first miles/ last miles traffic concerns.
The problem with these estimates, according to the report, is that if self- driving vehicles come available too quickly, that may lead to further particular vehicles on the road, therefore disincentivizing further business-effective public transportation options. AVs could lead to longer commutes, because riders could use their time for reading or poring social media on a smartphone. Seattle may be suitable to reap the benefits of limited AV deployment by taking traffic data to more inform the megacity departments on how traffic inflow is and where the traffic points are. Presently, Seattle’s Advances Traffic Management System (ATMS) is able of collecting on- road business data, but transmitting AV business data to ATMS could optimize business patterns through signal manipulation or direct communication.
Infrastructure
Because of the radical change that AVs will bring to the current system of transportation, infrastructure risks will come a striking need. Frequently, AVs need clear lane striping, places to store the data collected by driving and if they run on electricity a more robust charging network. Without duly anticipating the occasionally opaque challenges, the system could be crippled in its immaturity.
The report recommends opening dialog now in order to prioritize public investments in structure. Engaging in community and assiduity outreach could help officers understand whether it would be necessary to expand being structure or establish new features for AVs.
Revenue Generation
In its ultimate form, another challenges for autonomous vehicles is that they won’t run red lights, they won’t speed down the trace over the limit or overstay metered parking spots. This will, still, impact the city’s budget. In Seattle, business fines constitute 2.6 percent of the city’s operating fund. Seattle will have to induce new profit aqueducts in order to offset the loss of backing. One suggestion from the report is for the city to develop a avail duty or an AV enrollment duty.
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Liability Insurance
One of the murkiest areas for self driving vehicles is the issue of liability and insurance. How will insurance companies handle fender bender while a driver was reading and not paying attention to the road? Therefore, who will constitute as the “driver” who has ultimate “control” ?
The answer again lies in community partnership. The report recommends openings for partnering with AV companies to allow the smooth adaptation to AVs. And while numerous insurance and liability issues aren’t under the city governance, Seattle should remain informed of developing liability programs.
Police and Emergency Response
Further questions arise from AVs when allowing about law enforcement. How will police officers be suitable to recognize if a seeing auto is actually a series of connected AVs? It isn’t hard to imagine AVs being used as drug mules to transport narcotics. On the other hand, local police departments could also come confused if during a routine business stop, an AV is pulled over.
In the short term, the report suggests developing specific training procedures for police and emergency services relations with AVs. In the long run, law enforcement agents may want to work with manufacturers on creating a “kill switch”. Furthermore, in order to disable an AV that could be suspected of transporting illegal weight. In the medium term, exigency services could coordinate with AVs. To automate some police surveillance efforts or ambulance dispatch.
Social Justice and Equity
Among the most grueling issues facing the onset of AVs is the danger that it could highly profit the wealthy and produce further burdens for lower income residents. However, the technology will be simply possessed by the upper class, and lower- income community members will inadvertently be forced to bear the mass of traffic fines, if AVs follow typical power models. Those without AVs may also be underprivileged when it comes to employment, as those with AVs would be suitable to work and answer emails while travelling.
Also read: Role of Cloud Computing in Autonomous Driving Development
Challenges of Autonomous Vehicles and Solutions Conclusions
Challenges of autonomous vehicles in training algorithms are numerous even today for rolling out the autonomous cars on the road. But so is the determination of our engineers, scientists, and problem solvers from different disciplines. The collaborative effort of the assiduity will surely make the autonomous auto on the road a reality one day. And the benefits will be huge. Not only it will save energy, encourage effective transportation and participated services. But will also help in saving numerous lives that are regularly lost in road accidents.
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