2017
DOI: 10.1016/j.trpro.2017.05.051
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Robust Perimeter Control for Two Urban Regions with Macroscopic Fundamental Diagrams: A Control-Lyapunov Function Approach

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Cited by 23 publications
(9 citation statements)
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“…These variables can be calculated from trajectory data (Keyvan-Ekbatani et al 2019). The third type (Type-III), that is similar to the first type, uses the trip completion flow, rather than the production (Sirmatel and Geroliminis 2021; Zhong et al, 2017) to represent the y-axis variable. This type is very like the original formulation proposed by Daganzo (2007), where the trip completion rate is named "exit flow" which describes the assumed single reservoirs.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…These variables can be calculated from trajectory data (Keyvan-Ekbatani et al 2019). The third type (Type-III), that is similar to the first type, uses the trip completion flow, rather than the production (Sirmatel and Geroliminis 2021; Zhong et al, 2017) to represent the y-axis variable. This type is very like the original formulation proposed by Daganzo (2007), where the trip completion rate is named "exit flow" which describes the assumed single reservoirs.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The functional type of the MFD varies across different literature. For instance, there are polynomials (Sirmatel and Geroliminis 2021;Zhong et al 2017;Ding et al 2017), logistic-based models; smooth approximation of a trapezoidal model (Ambühl et al, 2017); exponential family (Geroliminis et al 2014), etc. Currently, most MFD models are developed mainly as a deterministic system (Wan et al 2020). As indicated in Johari et al (2021),"NMFD relations do not recognize stochasticity per se".…”
Section: Literature Reviewmentioning
confidence: 99%
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“…The minimum of the combination of the average delay and the mean square error of average delay is considered as objective. The robust optimization methods were also widely analyzed in coordination control [40], [41], bus priority control [42]- [44], network design [45]- [49], and multi-objective optimization [50], [51].…”
Section: Literature Reviewmentioning
confidence: 99%
“…trip completion rate) and accumulation. Based on this work, numerous MFD-based modeling and control methods have been developed for multi-region urban networks, like optimal control [7,8], robust control [9,10], model predictive control (MPC) [11][12][13][14][15], model-free adaptive control [16,17], demand management [18].…”
Section: Introductionmentioning
confidence: 99%