The Smart Roads Classification model is based on two prior parameters: Level of Service for Automated Driving (LOSAD) and Infrastructure Support for Automated Driving (ISAD). The first one (LOSAD) represents how ready the infrastructure is to host autonomous vehicles. The effects of the environment, geography, time-of-day, traffic, and road markings of a road segment may result in the road being more or less ready for vehicles to use automation. The second one (ISAD) summarizes the support for connected vehicles; adequate connectivity and digital information are vital for sharing information to connected vehicles. The combination of these inputs result in the five Smart Roads Classification Levels from fully autonomous to no automation as follows - autonomousway (AU), full automatedway (FA), automatedway (AT), assistedway (AS), and humanway (HU) as depicted in Figure 43 (PIARC, 2021). .
Figure 43. Smart Road Classification Framework Source: World Road Association “PIARC” (2021) Smart Roads Classification Webinar
Although it may be premature to integrate smart roadway typologies into the Corridor Plan, there may be opportunities to do so on a limited basis. This topic may be most appropriate for future updates as the implications of connected and automated vehicles for design and right-of-way are more fully understood.
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