Table 1 Relevant terms and definitions.
From: Machine learning-based detection and mitigation of cyberattacks in adaptive cruise control systems
Term | Definition | Term | Definition |
|---|---|---|---|
\(\varepsilon\) | Ego vehicle | \({s_o}\) | Static minimum spacing |
p | Preceding vehicle | s | Spacing of vehicles |
\({k_1}\) | Position constant | a | Maximum acceleration |
\({k_2}\) | Velocity constant | b | Maximum deceleration |
\({x_p}\) | Position of preceding vehicle | b | Desired acceleration for ACC |
\({x_\varepsilon }\) | Position of ego vehicle | \(a_{\varepsilon }^{{IDM}}\) | Desired acceleration for IDM |
\({v_p}\) | Velocity of preceding vehicle | \(a_{\varepsilon }^{{pred}}\) | Predictor output |
\(v_{p}^{{\hbox{max} }}\) | \({v_p}\) measured at the maximum frequency | \(a_{\varepsilon }^{{est}}\) | Estimator output |
\({f_{\hbox{max} }}\) | Maximum frequency of V2V communication | \(a_{\varepsilon }^{{}}\) | Output acceleration of ε |
\({v_\varepsilon }\) | Velocity of ego vehicle | \({a_p}\) | Instantaneous acceleration of |
\(T_{{}}^{{ACC}}\) | Constant time headway for ACC (1.2s for27) | \(t_{{}}^{{est}}\) | Actual time headway estimated |
\(T_{{}}^{{IDM}}\) | Constant time headway for IDM (1.5Â s for28) | \(t_{{}}^{{ACC}}\) | Actual time headway with ACC |
