Dynamic origin–destination demand flow estimation under congested traffic conditions

Green travellers? Exploring the spatial context of sustainable mobility styles

“…In addition, there is also a tendency to generate sub-models for transportation that treat the problems of each of these phases in a discreet manner, i.e. without contemplating the sequential FSM design (Wen-Long, 2007;Yim et al, 2011;Lu et al, 2013). Among these sub-models, several are related to dynamic traffic assignment (DTA), which is based on a simulation that allows mobility patterns to be represented over a certain period of time by assignment of an array of trips to a route group with widespread travel costs that are lower than the remaining alternatives (Peeta and Ziliaskopoulos, 2001;Szeto and Lo, 2006;Juran et al, 2009).…”

Development of origin–destination matrices using mobile phone call data

“…Estimation of reliable OD matrices from traffic link count data on the other hand is extremely challenging since very often the data is limited in extent and can lead to multiple plausible non-unique OD matrices (e.g. 4,5,6,7,8). A number of Bayesian methods (e.g.9,10,11), Generalized Least Squares approaches (e.g.…”

Assessing the energy impact of traffic management and vehicle hybridisation

“…Kinematic wave theory of traffic flow (Newell, 1993) is used to simulate traffic flow on each road segment. This model has been recognised as an efficient and effective method for large-scale networks (Lu et al, 2013) and dynamic traffic assignment formulations. In particular, the Lighthill-Whitham-Richards (LWR) model (Lighthill and Whitham, 1955;Richards, 1956) along with discretisation scheme proposed by Newell (1993) is used.…”