Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future
By Srinivas Peeta, A. Ziliaskopoulos. 2001
876 citations recorded by the source corpus.
Subfields: Automotive Engineering, Control and Systems Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/91c6a2d541d38739a88616882c8f847369505a6a
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In Automotive Engineering
In Control and Systems Engineering
In Transportation
Citations in the corpus
- Line planning in public transportation: models and methods (2012, background): “We do not review the literature on traffic assignment here but refer to Patriksson (1994), Carraresi et al. (1995), Peeta and Ziliaskopoulos (2001), Desaulniers and Hickman (2007), and Babonneau and Vial (2008) and references therein.”
- Boundedly rational route choice behavior: A review of models and methodologies (2016, background): “After evaluating habitual routes, only 59% respondents from Cambridge, Massachusetts ( Bekhor et al., 2006 ), 30% from Boston ( Ramming, 2001 ), 87% from Turin, Italy ( Prato and Bekhor, 2006 ) chose paths with the shortest distance or the shortest travel time.”
- Generalized bathtub model of network trip flows (2019, background): “Finally, computational costs are high for trip generation, trip distribution, mode choice, departure time choice, and route choice in discrete networks, and the dynamic traffic assignment problem for route choice is still theoretically open and lacks a converging algorithm (Peeta and Ziliaskopoulos,”
- Evacuation Transportation Planning Under Uncertainty: A Robust Optimization Approach (2009, background): “…for evacuation planning may come from variety of fields such as dynamic network flows (see Ahuja et al. (2003) for a complete survey on network flow theory), Dynamic Traffic Assignment (DTA) (see Peeta and Ziliaskopoulos (2001) for a review) and simulation (see Mahmassani (2001) for a survey).”