Adaptive cruise control design for active congestion avoidance

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A Potential Field-Based Model Predictive Path-Planning Controller for Autonomous Road Vehicles (2017, background): “…X s i and Y s i , which are deﬁned as: The safe longitudinal distance includes the minimum longitudinal distance, X 0 , the distance spanned by the vehicle during the safe time gap, T 0 , and the distance due to the longitudinal velocity difference between the vehicle and the obstacle [26].”
A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method (2017, background): “A number of studies conducted capacity analyses for mixed traﬃc, most of them relying on computer simulation (e.g., Van Arem et al., 1997; Shladover et al., 2001; Vander Werf et al., 2002; Van Arem et al., 2006; Kesting et al., 2008; 2010; Shladover et al., 2012; Krause et al., 2017 ).”
Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity (2009, methodology): “These sensitivities multiply when considering other relevant measurements, such as travel times, resulting in large variations by factors of 2–4 (Kesting et al. 2008).”