Intelligent Traffic Lights: Green Time Period Negotiaton

Vilarinho, Cristina; Tavares, José Pedro; Rossetti, Rosaldo J. F.

doi:10.1016/j.trpro.2017.03.039

Cited by 21 publications

(12 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This laboratory implementation makes it possible to evaluate realistically the performances of the proposed system before a real implementation in the field. We applied the standard practice of using simulation to test the effectiveness of the FCDATS system because, in most academic studies, traffic light regulation and traffic signal optimization were designed and analyzed in simulated environments [65][66][67][68]. Once the results have been analyzed, if they are promising, the system can be tested in a real environment.…”

Section: Methodsmentioning

confidence: 99%

A Single Intersection Cooperative-Competitive Paradigm in Real Time Traffic Signal Settings Based on Floating Car Data

et al. 2019

View full text Add to dashboard Cite

New technologies such as "connected" and "autonomous" vehicles are going to change the future of traffic signal control and management and possibly will introduce new traffic signal systems that will be based on floating car data (FCD). The use of floating car data to regulate traffic signal systems, in real time, has the potential for an increased sustainability of transportation in terms of energy efficiency, traffic safety and environmental issues. However, research has never explored how not "connected" vehicles would benefit by the implementation of such systems. This paper explores the use of floating car data to regulate traffic signal systems in real-time in a single intersection and in terms of cooperative-competitive paradigm between "connected" vehicles and conventional vehicles. In a dedicated laboratory, developed for testing regulation algorithms, results show that "invisible vehicles" for the system (which are not "connected") in most simulated cases also benefit when real time traffic signal settings based on floating car data are introduced. Moreover, the study estimates the energy and air quality impacts of a single intersection signal regulation by evaluating fuel consumption and pollutant emissions. Specifically, the study demonstrates that significant improvements in air quality are possible with the introduction of FCD regulated traffic signals.Energies 2019, 12, 409 2 of 22 completely eliminated, showing that congestion was reduced and safety increased [5,6]. Cassini [7,8] also presents a fascinating case where traffic signals were installed improperly causing residents to protest, without success, until the moment the lights went off for a technical failure and the traffic jams magically disappeared.While these experiences hint that regulating traffic signal systems properly is an important and actual problem, mobile internet coupled with Global Navigation Satellite System (GNSS) localization systems are creating disruptive innovations in the transportation sector. A real technical revolution has started, driven by the convergence of mobile internet, GNSS and the introduction of "connected" vehicles.Intelligent Transportation Systems (ITS) can take advantage in the use of Floating Car Data (FCD) for managing traffic flow or to extract traffic flow parameters and many large scale deployments of such systems based on Floating Car Data (FCD) are already showing the use of mobile phones [9][10][11][12] and wireless communications [13,14] combined with GNSS technologies.Smartphones (and connected vehicles) can obtain localization and speed information from GNSS systems such as Galileo, GPS and Glonass. GPS sensors embedded in smartphones provide an economical method to obtain vehicular travel times [15] and to evaluate traffic scenarios [16,17]. Smartphones also allow the estimation of traffic safety parameters [18] and route choices [19]. Mobile devices have also been used to asses safety and risks by insurance companies [20] and for traffic safety [21,22] and fuel consumption estimation [23]....

show abstract

Section: Methodsmentioning

confidence: 99%

A Single Intersection Cooperative-Competitive Paradigm in Real Time Traffic Signal Settings Based on Floating Car Data

et al. 2019

View full text Add to dashboard Cite

show abstract

“…References [87][88][89][90][91][92][93][94][95][96][97][98][99][100] present miscellaneous approaches to optimize TST settings and TSC strategies. These approaches include stochastic programming, semianalytic, stage-based sequencing, elimination pairing, etc.…”

Section: Miscellaneous Approachesmentioning

confidence: 99%

“…An important part of heavy traffic intersections, especially in metropolitan areas are pedestrians. Except for [86,98], pedestrians and the effect of their behavior are not modeled into the studies. The same goes for driver behavior.…”

Section: Conclusion Directions For Future Researchmentioning

confidence: 99%

State-of-art review of traffic signal control methods: challenges and opportunities

Qadri

Gökçe

Öner

2020

Eur. Transp. Res. Rev.

111

View full text Add to dashboard Cite

Introduction Due to the menacing increase in the number of vehicles on a daily basis, abating road congestion is becoming a key challenge these years. To cope-up with the prevailing traffic scenarios and to meet the ever-increasing demand for traffic, the urban transportation system needs effective solution methodologies. Changes made in the urban infrastructure will take years, sometimes may not even be feasible. For this reason, traffic signal timing (TST) optimization is one of the fastest and most economical ways to curtail congestion at the intersections and improve traffic flow in the urban network. Purpose Researchers have been working on using a variety of approaches along with the exploitation of technology to improve TST. This article is intended to analyze the recent literature published between January 2015 and January 2020 for the computational intelligence (CI) based simulation approaches and CI-based approaches for optimizing TST and Traffic Signal Control (TSC) systems, provide insights, research gaps and possible directions for future work for researchers interested in the field. Methods In analyzing the complex dynamic behavior of traffic streams, simulation tools have a prominent place. Nowadays, microsimulation tools are frequently used in TST related researches. For this reason, a critical review of some of the widely used microsimulation packages is provided in this paper. Conclusion Our review also shows that approximately 77% of the papers included, utilizes a microsimulation tool in some form. Therefore, it seems useful to include a review, categorization, and comparison of the most commonly used microsimulation tools for future work. We conclude by providing insights into the future of research in these areas.

show abstract

“…Dorin [11] believes that some optimization tools can be used to update intelligent traffic lights. Vilarinho et al innovatively focused on pedestrians, put forward a traffic light control strategy based on people at Isolated Intersections [12], adding people flow to the model, which can make the intelligent traffic light model more in line with the actual situation. In the latest research, Yousef et al put forward a new reconfigurable history based traffic management algorithm [13], which optimizes performance indicators such as AQL and AWT through a robust heuristic method.…”

Section: Literature Reviewmentioning

confidence: 99%

A Scheme of Intelligent Traffic Light System Based on Distributed Security Architecture of Blockchain Technology

Zeng

Wang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

In recent years, under the background that the rapid development of traffic volume makes the current traffic lights far from meeting the urban traffic demand, intelligent traffic lights based on the centralized architecture began to appear. However, in the traffic network with complex structure and private data flow, there are many malicious attacks against the centralized architecture, such as Sybil and ghost car attacks, which undoubtedly brings great security risks to the traditional intelligent traffic lights. Blockchain technology is a popular security framework nowadays. Based on its outstanding characteristics in the distributed architecture and the development of Edge Intelligence (EI) technology, this paper proposes a distributed security architecture scheme based on blockchain technology for the existing intelligent traffic light system. At the same time, based on the model cutting technology proposed by EI, the smart contract is improved to achieve redundant cutting of ledger data in the process of block consensus, which greatly reduces the pressure of blockchain ledger data transmission. In the end of this paper, the superiority of this scheme compared with the traditional intelligent traffic light scheme in communication cost and time cost is demonstrated by simulation experiment.INDEX TERMS Blockchain, intelligent transportation, distributed architecture, edge intelligence.PENGJIE ZENG is currently pursuing the bachelor's degree from the Hunan University of Science and Technology. His research field is the application of blockchain in the Internet of Things, cyberspace security, privacy protection, and large data processing and analysis. He received the Second Prize at the National College Students Innovative Electronic Design Competition and the Third Prize at the School-Level Financial Management Data Analysis Competition. He is currently in charge of leading the Technical Team to complete the development of a smart agriculture project and an intelligent traffic light project.

show abstract

Intelligent Traffic Lights: Green Time Period Negotiaton

Cited by 21 publications

References 8 publications

A Single Intersection Cooperative-Competitive Paradigm in Real Time Traffic Signal Settings Based on Floating Car Data

A Single Intersection Cooperative-Competitive Paradigm in Real Time Traffic Signal Settings Based on Floating Car Data

State-of-art review of traffic signal control methods: challenges and opportunities

A Scheme of Intelligent Traffic Light System Based on Distributed Security Architecture of Blockchain Technology

Contact Info

Product

Resources

About