Effect of adaptive cruise control systems on traffic flow.
By Davis Lc. 2004
173 citations recorded by the source corpus.
Subfields: Building and Construction, Control and Systems Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/61afddaef2da1bfd28648987af5df8562126d8cb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
- Dirk Helbing
- Arne Kesting
- Martin Treiber
- Benedetto Piccoli
- D. Work
- Chris M. J. Tampère
- Boris S. Kerner
In Control and Systems Engineering
- Arne Kesting
- Martin Treiber
- Dirk Helbing
- Martin Schönhof
- Benedetto Piccoli
- D. Work
- Zuduo Zheng
- Mohammad Saifuzzaman
In Transportation
- Arne Kesting
- Martin Treiber
- Dirk Helbing
- Martin Schönhof
- Benedetto Piccoli
- D. Work
- Szilárd Aradi
- Hani S. Mahmassani
Citations in the corpus
- Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments (2017, background): “The controllers are generally motivated by the fact that mathematical models of vehicular traffic can be stabilized via the control of a small number of vehicles, see for example [49, 50, 51, 52, 63].”
- Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity (2009, background): “In the literature, positive as well as negative effects of ACC systems have been reported (Marsden et al. 2001; VanderWerf et al. 2002; Bose k Ioannou 2003; Davis 2004; Ioannou k Stefanovic 2005; van Arem et al. 2006; Resting et al. 2008).”
- Adaptive cruise control design for active congestion avoidance (2008, background): “Particularly, the microscopic modeling approach allows for a natural representation of heterogeneous traffic consisting of ACC vehicles and manually driven vehicles (Kesting et al., 2007b; Davis, 2004; VanderWerf et al., 2002; Treiber and Helbing, 2001; Marsden et al., 2001; Minderhoud, 1999).”