Seite - 8 - in Maximum Tire-Road Friction Coefficient Estimation

1 Introduction 0 5 10 15 20 25 30 35 Lane keeping assistant (LKA) Collision warning system (CWS) Evasive manoeuvre assistant (EMA) Automated emergency braking (AEB) Automated highway (AuHi) Driver vigilance monitoring (DVM) Electronic stability control (ESC) Speed limiting system (SLS) Intersection collision avoidance (ICA) Alcohol detection and interlock (AI) All vehicles Two-wheelers Cars Trucks/busses Weighted potential in % Figure 1.5.: Potential benefit for avoiding fatalities for different road user groups for top ten systems identified by Eichberger et al. in TUG-RCS study, [ETR+10] mitigating accidents, [ETR+10]. Lane keeping assistant (LKS), automated highway sys- tems (AuHi)3 and speed limiting systems (SLS) that assist the driver in normal driving states show a high benefit for traffic safety. Also, forward collision avoidance and mit- igation systems such as collision warning system (CWS), evasive manoeuvre assistant (EMA), automated emergency braking system (AEB) and intersection collision avoid- ancesystems(ICA)haveahighpotential. SinceVDCincludeselectronicstabilitycontrol (ESC), one VDC is also in the top ten. Finally, driver-condition-related systems such as driver vigilance monitoring (DVM) and alcohol detection and interlock systems (AI) are among the top ten systems in this study. For a vehicle equipped with all top ten systems, the potential benefit for preventing accidents is 59.2 % and of preventing fatal- ities is 14.3 %, see Figure 1.6. These potential benefits can only be attained under the assumptionthatdriversdonotcompensate for theADASsupportbytakinghigher risks. Thesystemsthatcouldbe improvedbyadaptingtothe frictionpotential are indicated in bold print in Figure 1.5. This investigation provided the basis for the selection of sys- 3Here, AuHi comprise systems for autonomous driving on highways, i.e. longitudinal and lateral vehicle guidance, cf. [ETR+10, p.102] 8