Microscopic simulation analysis of Mainstream Traffic Flow Control with Variable Speed Limits

Müller, Eduardo Rauh; Carlson, Rodrigo Castelan; Kraus, Werner; Papageorgiou, Markos

doi:10.1109/itsc.2013.6728362

Cited by 6 publications

(22 citation statements)

References 15 publications

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“…With the current technology, however, speed limits are typically displayed on overhead gantries at discrete locations. In this case, shock generations may take longer, especially in free-flow traffic (e.g., VSL in state a in strategy 3), because VSL at a fixed location affects vehicles only in close vicinity (Müller et al, 2013), and discrete shocks may be generated with some differences in time. Thus, gantries should be placed close enough so that these effects are negligible, and a vertical shock gives a reasonable approximation.…”

Section: Vsl Implementation For Steady Trafficmentioning

confidence: 99%

Variable speed limit control for steady and oscillatory queues at fixed freeway bottlenecks

Chen

Ahn

Hegyi

2014

Transportation Research Part B: Methodological

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Section: Vsl Implementation For Steady Trafficmentioning

confidence: 99%

Variable speed limit control for steady and oscillatory queues at fixed freeway bottlenecks

Chen

Ahn

Hegyi

2014

Transportation Research Part B: Methodological

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“…As a result, effects of shockwaves moving upstream can be reduced and, hence, traffic efficiency can be improved. Finally, the fourth algorithm of the study is the Motorway Traffic Flow Control (MTFC) algorithm [4,5,38,39]. The objective of this algorithm is to maintain a stable traffic situation by keeping a detected occupancy as close to the capacity level as possible, and thereby avoiding a capacity drop.…”

Section: Variable Speed Limit Algorithms In This Studymentioning

confidence: 99%

“…[18] use macroscopic traffic simulation to conclude that SPECIALIST gives a decrease in total travel time spent and on average an increase in throughput of traffic flow. The MTFC has been evaluated using both macroscopic traffic simulation [4,5] and microscopic traffic simulation [38,39]. The studies show improvements in efficiency, with reductions as high as 40% in total travel time.…”

Section: Variable Speed Limit Algorithms In This Studymentioning

confidence: 99%

“…In the MTFC algorithm [39] the speed limit is determined by controlling the occupancy at an identifiable bottleneck towards a predefined estimate of the critical occupancy at the specific bottleneck. The variable speed limit at time t is determined as a fraction, b (t), of the original speed limit on the road.…”

Section: The Mtfc Algorithmmentioning

confidence: 99%

“…The threshold is set to 1% below the critical level of the occupancy to limit the risk of exceeding the capacity. Algorithm specific parameters are taken from the study presented in [39]. The VSLs varies between 20 and 100% of the original speed limit on the road and are rounded to the nearest 10 km/h.…”

Section: The Mtfc Algorithmmentioning

confidence: 99%

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Characteristics of variable speed limit systems

Grumert

Tapani

2018

Eur. Transp. Res. Rev.

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The control algorithm used for deciding on the speed limit in variable speed limit systems is crucial for the performance of the systems. The algorithm is designed to fulfil the purpose of the variable speed limit system, which can be one or several of the following aspects: increasing safety, increasing efficiency and decreasing environmental impacts. Today, many of the control algorithms used in practice are based on fixed thresholds in speed and/or flow. Therefore, they are not necessarily reflecting the current traffic conditions. Control algorithms with a greater level of complexity can be found in the literature. In this paper, four existing control algorithms are investigated to conclude on important characteristics affecting the performance of the variable speed limit system. The purpose of the variable speed limit system and, consequently, the design of the control algorithm differ. Requirements of the investigated control algorithms are that they should be easy to interpret and the execution time should be short. The algorithms are evaluated through microscopic traffic simulation. Performance indicators related to traffic safety, traffic efficiency and environmental impacts are presented. The results show that the characteristics of the variable speed limit system and the design of the control algorithm will have effect on the resulting traffic performance, given that the drivers comply with the variable speed limits. Moreover, the time needed to trigger the system, the duration and the size of speed limit reductions, and the location of the congestion are factors of importance for the performance of variable speed limit systems.

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A Network-Wide Bilevel Optimization-Simulation Approach for Variable Speed Limit Systems to Improve Travel Time Reliability

Machiani

Jahangiri

Ahmadi

2017

ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

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Microscopic simulation analysis of Mainstream Traffic Flow Control with Variable Speed Limits

Cited by 6 publications

References 15 publications

Variable speed limit control for steady and oscillatory queues at fixed freeway bottlenecks

Variable speed limit control for steady and oscillatory queues at fixed freeway bottlenecks

Characteristics of variable speed limit systems

A Network-Wide Bilevel Optimization-Simulation Approach for Variable Speed Limit Systems to Improve Travel Time Reliability

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