2019
DOI: 10.1109/access.2019.2915993
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Abstract: This paper proposed a dynamic traffic assignment method based on the connected transportation system to express the time-varied traffic flows caused by uncertain traffic demand and supply in the real traffic network accurately. In dynamic traffic assignment, because of the cumulative volumes of successive time intervals, a route-based traffic assignment algorithm is used for dynamic traffic assignment in this paper. Besides, a novel shortest path algorithm based actual and artificial link is proposed for the t… Show more

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Cited by 5 publications
(5 citation statements)
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References 39 publications
(44 reference statements)
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“…In terms of the model type, DTA can be categorized into macroscopic, mesoscopic and microscopic models [58,59]. The microscopic level model mainly focuses on individual driver behaviour modelling [57,60,61]. Mesoscopic traffic flow describes vehicle behaviour in aggregate terms, such as inprobability distributions [62][63][64].…”
Section: 22mentioning
confidence: 99%
“…Moreover, no driver in the UE can reduce its travel time by unilaterally changing paths. Equation ( 8) is the classic variational inequality (VI) form of UE [56], which can also be used in DTA [57].…”
Section: Subject To Equations (1)-(3)mentioning
confidence: 99%
“…Over the past decades, various dynamic traffic assignment (DTA) models have also been developed as part of intelligent transportation systems (ITSs), which can precisely describe the time-varying traffic flows of real road networks [24][25][26][27]. Compared with STA models, DTA models are better able to efficiently describe congestion effects and can therefore produce far more accurate traffic flows.…”
Section: Introductionmentioning
confidence: 99%
“…Existing traffic assignment problems studied by researchers can be classified into two categories: (a) Static Traffic Assignment (STA) [3]; (b) Dynamic Traffic Assignment (DTA) [4].…”
Section: Introductionmentioning
confidence: 99%
“…In the past decade, research efforts are devoted to more dedicated traffic models, considering the macroscopic fundamental diagram [20], limited driving distance and parking choice [21], [22], electric vehicles and charging stations [23]- [25], ride-sharing travellers [26]- [28], and reference-dependent utility [29], users' heterogeneity [30], transit/queue dynamics [31], [32], and traffic signal control [33], [34]. Most of them can be formulated as a convex optimization problem.…”
Section: Introductionmentioning
confidence: 99%