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The automotive retail purchase process is undergoing dramatic change. Consumers armed with mobile devices now have previously unavailable information at their fingertips that provide significant leverage in the sales transaction. At the same time, big data and sophisticated analytics allow original equipment manufacturers (OEMs) and auto dealerships greater insight into customers’ activities and buying behaviors.
The automotive industry is on the precipice of (r)evolution. Gartner estimates that by the year 2020 there will be over 250 million connected vehicles on the road, with the number of installed connectivity units in vehicles worldwide increasing by 67 percent and consumer spending on in-vehicle connectivity doubling.
This paper is intended as an informative backgrounder and starting point for continued discussion and collaboration. The primary goal is to present the current state of automotive security, the main concerns, some use cases, and potential solutions.
Safety will become an even more critical factor in the future, as the number of vehicles on the road is likely to increase with autonomous driving
— Even though autonomous vehicles are expected to improve the utilization of the capacity of the roads by allowing more vehicles to run faster and more closely spaced, the increase in the number of vehicles on the road may produce a net increase in the load on the road infrastructure, and the resulting capacity and safety issues must be addressed.
In this competitive and challenging environment, thought-leaders are recommending a shift to systems engineering. Using a systems engineering approach could help OEMs maintain product quality, reduce costs, manage change, and achieve time to market.
The Mentor Graphics Capital tool suite for electrical design and manufacturing fits well into the systems engineering methodology. This paper talks about applying systems engineering principles using the Capital tool suite to address these issues.