Hierarchical control of heterogeneous large-scale urban road networks via path assignment and regional route guidance

Yildirimoḡlu, Mehmet; Sirmatel, Isik Ilber; Geroliminis, Nikolas

doi:10.1016/j.trb.2018.10.007

Cited by 128 publications

(33 citation statements)

References 36 publications

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“…The MFD is arguably network-specific and a function of network topology, signal control settings and route choice (22,23). This has made it a valuable tool to develop a wide range of traffic control applications such as routing strategies (25,26,27), perimeter traffic control (28,29), on-street parking (30,31) and congestion charging (21). While influential factors on the shape of MFD has been well studied under steady states, empirically derived MFDs exhibit multivaluedness and hysteresis loops which need to be further investigated.…”

Section: Macroscopic Fundamental Diagrammentioning

confidence: 99%

Macroscopic Traffic Dynamics in Urban Networks during Incidents

Amini¹,

Tilg²,

Busch³

2020

Preprint

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The degradation of road network performance due to incidents is a major concern to traffic operators. The development of urban traffic incident management systems requires a comprehensive understanding of traffic dynamics during incidents. Recently, the concept of the macroscopic fundamental diagram (MFD) contributed to such an understanding and has been used in a wide range of applications. However, the MFD is merely reproducible under recurring traffic patterns. Motivated by a few studies which argue the existence of the MFD with a clockwise hysteresis loop during incidents, we tackle this limitation of the MFD and propose a framework to study the characteristics of the MFD under non-recurring congestion. More specifically, we introduce a criticality score (CS) which represents network redundancy and postulate that links with a higher level of CS impose a larger hysteresis loop on the MFD. We design an experiment in a microscopic traffic simulation to study the relation of closed links and the resulting MFDs. The results confirm our postulation and we observe that links with similar CS have a comparable impact on the shape of the MFD. The main contribution of this paper is the possibility to develop a framework for incident detection in urban networks under limited sensor coverage. However, the findings of the study may strongly rely on the assumptions, for instance, the network structure, the OD pairs, and drivers route choice during incidents. Thus, future studies are required to study other network topologies as well as more realistic driver route choice during incidents.

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Section: Macroscopic Fundamental Diagrammentioning

confidence: 99%

Macroscopic Traffic Dynamics in Urban Networks during Incidents

Amini¹,

Tilg²,

Busch³

2020

Preprint

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“…Traffic control literature can be sourced to the seminal works of Webster ( 3 ) and Allsop ( 4 ), and has evolved, through the years, from offline planning approaches considering fixed-time control of individual intersections toward coordinated strategies ( 5–7 ) and, more recently, time-dynamic strategies, both traffic responsive ( 8 , 9 ) and model based ( 10–18 ), trying to achieve network-wide objectives in relation to delay minimization and maximization of utilized capacity.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating the Relationship between Controller Locations and Dynamic Traffic Control in Generic Transportation Networks

Rinaldi

Viti

2020

Transportation Research Record: Journal of the Transportation R

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Traffic control policies aim at reducing the negative externalities that ever-growing demand is causing on transportation networks, such as congestion and pollutant emissions. To achieve these goals, strategies coordinating and aligning the effects of several individual traffic controllers have received increasing attention in research and development in the past decades. However, a considerable gap still exists between the desired and experienced performance of advanced dynamic traffic management systems, resulting in failure to completely prevent the increasing peak-hour congestion in main urban areas worldwide. In this work we contribute to assessing whether this gap might be tied to inefficient network design, rather than algorithmic prowess. Based upon our earlier work, we investigate whether a trend can be found between determining locations of controllers in a network following control theoretical insights, and try to confirm our earlier intuitions when dealing with dynamic traffic assignment, featuring accurate propagation and spillback dynamics. To achieve these goals, we extend an existing synthetic network generation tool to allow us to test this hypothesis on real-life-like road networks, and extend our previously developed algorithms for the controller location problems allowing for sufficient generalization. Test results are presented on a simpler deterministic scenario and on 240 randomly generated networks, showcasing that placing controllers following controllability-based principles is advantageous from the perspective of model-based dynamic traffic management applications.

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“…In this spirit, Yildirimoglu and Geroliminis (2014) proposed a route guidance framework based on the Multinomial Logit model where the trip lengths are traffic-dependent and implicitly calculated. Yildirimoglu et al (2015) and Yildirimoglu et al (2018) designed a control strategy coupled with route guidance, also with the trip lengths implicitly calculated. Ramezani et al (2015) discussed a perimeter control strategy, where the trip lengths are calculated dynamically based on exchange flows between adjacent regions.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Traffic Assignment for regional networks with traffic-dependent trip lengths and regional paths

Batista

Leclercq²,

Menéndez³

2021

Transportation Research Part C: Emerging Technologies

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The estimation of trip lengths has been proven to be a key feature for the application of aggregated traffic models based on the Macroscopic Fundamental Diagram. The paths and distances to be traveled by vehicles in regional networks vary over time, due to changes in the traffic conditions. In this paper, we develop a methodological framework to explicitly determine traffic-dependent regional paths and estimate their travel distances. This framework is incorporated into a dynamic traffic assignment module designed to target the Deterministic and Stochastic User Equilibrium in regional networks. We first discuss how regional paths and their characteristic trip lengths are influenced by changes in the regional traffic dynamics. We then test the proposed methodology for estimating traffic-dependent travel distances on small and medium-sized networks, considering a simulation environment. We show that our methodology provides good estimations of the traffic-dependent trip lengths. Our results also shed light on the importance of how time-dependent trip lengths influence the traffic dynamics in the regions.

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Hierarchical control of heterogeneous large-scale urban road networks via path assignment and regional route guidance

Cited by 128 publications

References 36 publications

Macroscopic Traffic Dynamics in Urban Networks during Incidents

Macroscopic Traffic Dynamics in Urban Networks during Incidents

Investigating the Relationship between Controller Locations and Dynamic Traffic Control in Generic Transportation Networks

Dynamic Traffic Assignment for regional networks with traffic-dependent trip lengths and regional paths

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