Online deployment of dynamic traffic assignment: architecture and run-time management

A dynamic traffic assignment model for highly congested urban networks

“…A previous DynaMIT application in Los Angeles, CA (Wen et al, 2006a(Wen et al, , 2006b) had RMSN for counts in the range of 20% to 24% depending on the road type. The Beijing case study has a more complicated network, higher demand, more calibration variables, and smaller number of count stations, and it is not surprising that the model fit cannot achieve the previous levels.…”

“…To handle congested real-world networks, the computational efficiency of DTA models has become an important research topic, with approaches ranging from the design of more efficient data structures and algorithms (Wen et al, 2006a;Ziliaskopoulos et al, 2004) to the utilization of distributed computing resources (Wen, 2009). Additionally, DTA systems may choose to adopt various levels of compromise between the realism and computational efficiency in their demand and supply models, allowing them to deal with non-trivial networks yet still provide satisfactorily realistic depictions of the traffic dynamics.…”

“…It has many desirable features including a closed-form formula to compute the probability of choosing a path among a known set of paths that could be used by an individual vehicle. MNL route choice models have been successfully applied in a number of network models (see, e.g., Wen, et al, 2006a), and it was adopted to calculate path choice probabilities in the early stage of our study.…”

“…In Los Angeles, California, a real-time version was calibrated and deployed as a route guidance system in the South Park area for traffic state estimation and prediction (Wen et al, 2006a(Wen et al, , 2006b). In Lower Westchester County, New York, DynaMIT-P was combined with NYSDOT's ITS infrastructure for traffic condition improvements (Rathi et al, 2008).…”

An enhanced SPSA algorithm for the calibration of Dynamic Traffic Assignment models

“…c o m / l o c a t e / t r c 2004; Tampère et al, 2010), and real-time traffic systems to provide consistent traffic prediction to travelers for route planning (e.g. Paz and Peeta, 2009) and to traffic control centers for control strategy generation (see, e.g., Ben-Akiva et al, 1997;Mahmassani, 2001;Antoniou, 2004;Wen et al, 2006, andAntoniou et al, 2011a). The implementation of simulation-based DTA systems in large-scale highly congested urban networks has been made possible by research in scalable DTA algorithms and parallel DTA simulation (Wen, 2009).…”