Towards a safe system in low- and middle-income countries: vehicles that guide drivers on self-explaining roads

Road crashes cause a huge problem of public health in low- and middle-income countries (LMICs). The Safe System approach is generally considered as the leading concept on way to road safety. Based fundamental premise that humans make mistakes, overall traffic system should be ‘forgiving’. Sustainable safe design one key elements approach. speed control help prevent with high level kinetic energy. However, principles behind are certainly not today’s infrastructure developments most LMICs. Cities getting larger increasing motorization expanding networks. Existing through-roads local communities upgraded, resulting heavy loads speeds places, absolutely suited for this kind traffic. Furthermore, would require functional properties vehicles roads conceptually integrated, which case at all. Although advanced driver assistance systems their development quite long period, potential role mostly unclear least strongly underexposed. vision future cars dominated by faraway automation. This paper argues self-driving take route via guidance, i.e. guide drivers, both self-explaining more or less unsafe roads. Such an in-vehicle guidance may drivers choose transport mode, speed, based criteria related safety sustainability. It suggested develop using relatively simple cheap technologies, particularly purpose use self-explaining—not only physical characteristics—but also providing in-car drivers. In future, characteristics conceptualized into integrated System, user plays central role. serve conceptual bridge between roadway, vehicle driver, thus indispensable component argued such necessary bring breakthrough LMICs give acceleration towards zero fatalities high-income countries.