A cooperative system based variable speed limit control algorithm against jam waves - an extension of the SPECIALIST algorithm

Hegyi, Andreas; Netten, B.D.; Wang, Meng; Schakel, Wouter; Schreiter, T.; Yuan, Yufei; Arem, Bart van; Alkim, Tom

doi:10.1109/itsc.2013.6728358

Cited by 25 publications

(11 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We set α a = 1 m/s 2 . Note that detecting traffic jams and estimating their propagations in real time [57] are beyond the scope of this paper. Instead, we assume that the absorbing vehicle knows the spatiotemporal information of the jam (such as the position of the downstream head of the jam as a function of time) at the initial time.…”

Section: Jam-absorption Drivingmentioning

confidence: 99%

Theoretical conditions for restricting secondary jams in jam-absorption driving scenarios

Nishi

2020

Physica A: Statistical Mechanics and its Applications

View full text Add to dashboard Cite

There has been considerable interest in the active maneuvers made by a small number of vehicles to improve macroscopic traffic flows. Jam-absorption driving (JAD) is a single vehicle's maneuvers to remove a wide moving jam and consists of two actions. First, a vehicle upstream of the jam slows down and maintains a low velocity. Because it cuts off the supply of vehicles to the jam, the jam shrinks and finally disappears. Second, it returns to following the vehicle ahead of it. One of the critical problems of JAD is the occurrence of secondary jams. The perturbations caused by JAD actions may grow into secondary jams due to the instability of traffic flows. The occurrence of secondary jams was investigated by numerical simulations in non-periodic systems where only human-driven vehicles are placed upstream of the vehicle performing JAD. However, no theoretical condition has been proposed to restrict secondary jams in these systems. This paper presents a theoretical condition restricting secondary jams in a semi-infinite system composed of a vehicle performing JAD and the other human-driven vehicles obeying a car-following model on a non-periodic and single-lane road. In constructing this condition, we apply the linear string stability to a macroscopic spatiotemporal structure of JAD. Numerical simulations show that a finite version of this condition restricts secondary jams. Moreover, under this condition, we demonstrate that it is possible to restrict secondary jams in the semi-infinite system under wide ranges of the parameters of the system. Furthermore, we construct the conditions suppressing secondary jams in other semi-infinite systems with inflows from other lanes or a bottleneck, and demonstrate that JAD can restrict secondary jams in these systems. Thus, our method theoretically guarantees that a single vehicle can improve macroscopic traffic flows.

show abstract

Section: Jam-absorption Drivingmentioning

confidence: 99%

Theoretical conditions for restricting secondary jams in jam-absorption driving scenarios

Nishi

2020

Physica A: Statistical Mechanics and its Applications

View full text Add to dashboard Cite

show abstract

“…This may improve traffic flow and driving safety, reduce emissions, and reduce drivers' mental workload. In the tutorial some specific examples will be discussed regarding the benefits of floating car data in speed control algorithms [8], and the design of speed control algorithms for mixed roadside in-car environments [5].…”

Section: Cooperative Systemsmentioning

confidence: 99%

An overview of speed control approaches to improve freeway traffic flow

Hegyi

2014

2014 European Control Conference (ECC)

View full text Add to dashboard Cite

“…The goal of the optimization was to find the VSL to be displayed on variable message signs. Hegyi et al (2013) used connected vehicle data, given as GPS position and in-vehicle speed, together with video-based monitoring, to reduce the time needed to detect shockwaves and to increase the precision of the application area of lower speed limits using the VSL algorithm SPECIALIST proposed by Hegyi et al (2008). Wang et al (2016) introduced a car-following control algorithm taking into account the surrounding environment of the connected vehicles.…”

Section: Introductionmentioning

confidence: 99%

“…Lower speed limits were applied to connected vehicles and on variable message signs to reduce the probability of a breakdown. Hence, connected vehicles have been shown to be useful for data collection and to estimate the traffic state, which is used as input to the VSL system (Hegyi et al 2013;Kattan et al 2015;Khondaker and Kattan 2015;Han and Ahn 2018), and for control of the speed of individual vehicles as part of the control strategy of the VSL system (Müller, Carlson, and Kraus 2016;Wang et al 2016;Han, Chen, and Ahn 2017;Han and Ahn 2018).…”

Section: Introductionmentioning

confidence: 99%

Bottleneck mitigation through a variable speed limit system using connected vehicles

Grumert

Tapani

2018

Transportmetrica A: Transport Science

View full text Add to dashboard Cite

Variable speed limit (VSL) systems are used to improve the traffic conditions by adjusting the speed limits based on the current traffic situation. Advances in vehicle technology have made it possible to use connected vehicles in VSL systems. Connected vehicles can continuously transmit information about their speed and location, which can be used to estimate the current traffic conditions at arbitrary locations. In this study, we propose a VSL system based on connected vehicles. The aim is to also allow application of VSLs for non-recurrent bottleneck mitigation at arbitrary locations, unlike today's systems which require densely placed detectors or are limited to beforehand known bottleneck locations. The proposed system is evaluated by microscopic traffic simulation. The results indicate that the VSL system manage to improve traffic efficiency in a simulated incident scenario. ARTICLE HISTORY

show abstract

A cooperative system based variable speed limit control algorithm against jam waves - an extension of the SPECIALIST algorithm

Cited by 25 publications

References 6 publications

Theoretical conditions for restricting secondary jams in jam-absorption driving scenarios

Theoretical conditions for restricting secondary jams in jam-absorption driving scenarios

An overview of speed control approaches to improve freeway traffic flow

Bottleneck mitigation through a variable speed limit system using connected vehicles

Contact Info

Product

Resources

About