An Intelligent V2I-Based Traffic Management System

Milanés, Vicente; Villagrá, Jorge; Godoy, Jorge; Simó, Javier; Pérez, Joshue; Onieva, Enrique

doi:10.1109/tits.2011.2178839

Cited by 171 publications

(71 citation statements)

References 29 publications

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“…It permitted us to test our systems outside our own facilities, and to translate human driver know-how to our fuzzy control for highway-type scenarios. We drew the following conclusions about the different systems involved from our participation in this competition: • Hardware systems Different cooperative manoeuvres had been tested in our facilities involving three [21] and four of our own vehicles [22], giving good results. Our theoretical results showed our communication system to be capable of managing more than 50 vehicles without overload [22].…”

Section: Discussionmentioning

confidence: 99%

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Cooperative controllers for highways based on human experience

Pérez

Milanés

Godoy

et al. 2013

Expert Systems with Applications

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The AUTOPIA program has been working on the development of intelligent autonomous vehicles for the last ten years. Its latest advances have focused on the development of cooperative manoeuvres based on communications involving several vehicles. However, so far, these manoeuvres have been tested only on private tracks that emulate urban environments. The first experiments with autonomous vehicles on real highways, in the framework of the Grand Cooperative Driving Challenge (GCDC) where several vehicles had to cooperate in order to perform Cooperative Adaptive Cruise Control (CACC), are described. In this context, the main challenge was to translate, through fuzzy controllers, human driver experience to these scenarios. This communication describes the experiences deriving from this competition, specifically that concerning the controller and the system implemented in a Citröen C3.

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Section: Discussionmentioning

confidence: 99%

“…This system would transmit to each vehicle involved a unique control value representing a trade-off between safety and traffic flow [22]. If the receiving vehicle is manually driven, this value would be shown in a head-up display and treated by an ADAS in order to provide appropriate advice to the driver.…”

Section: Autopia Programmentioning

confidence: 99%

Cooperative controllers for highways based on human experience

Pérez

Milanés

Godoy

et al. 2013

Expert Systems with Applications

View full text Add to dashboard Cite

show abstract

“…The proposed system uses the radar sensor to measure the location and speed of the vehicles approaching towards the intersection and generate warnings in case of danger of collision. Milanés et al (2012c) have proposed an intelligent vehicle-2-infrastructure (V2I) communication based urban area traffic management system. V2I communication is performed using wireless accesses for vehicular environment (WAVE) IEEE 802.11p standard.…”

Section: B Semi-autonomous Ground Vehiclesmentioning

confidence: 99%

“…The main drawback of the proposed intersection collision avoidance techniques by Joerer et al (2014), von Eichhorn et al (2013, Milanés et al (2012c) and Tung et al (2013) is that they are using IEEE 802.11p for IVC purpose. IEEE 802.11p protocol is using seven 10 MHz wide channels in the range of 5.9 GHz spectrum.…”

Section: B Semi-autonomous Ground Vehiclesmentioning

confidence: 99%

Road collisions avoidance using vehicular cyber-physical systems: a taxonomy and review

Riaz

Niazi

2016

Complex Adapt Syst Model

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Road traffic is known to have its own complex dynamics. One implication of complexity is that road traffic collisions have become an unwelcome but unavoidable part of human life. One of the major causes of collisions is the human factor. While car manufacturers have been focusing on developing feasible solutions for autonomous and semi-autonomous vehicles to replace or assist human drivers, the proposed solutions have been designed only for individual vehicles. The road traffic, however, is an interaction-oriented system including complex flows. Such a system requires a complex systems approach to solving this problem as it involves considering not only pedestrians, road environment, but also road traffic which can include multiple vehicles. Recent research has demonstrated that large-scale autonomous vehicular traffic can be better modeled using a collective approach as proposed in the form of vehicular cyber-physical systems (VCPS) such as given by Li et al. (IEEE Trans Parallel Distrib Syst 23(9):1775–1789, 2012) or Work et al. (Automotive cyber physical systems in the context of human mobility. In: National workshop on high-confidence automotive cyber-physical systems, Troy, MI, 2008). To the best of our knowledge, there is currently no comprehensive review of collision avoidance in the VCPS. In this paper, we present a comprehensive literature review of VCPS from the collision-avoidance perspective. The review includes a careful selection of articles from highly cited sources presented in the form of taxonomy. We also highlight open research problems in this domain.

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“…Accordingly, the upstream vehicles can implement suitable countermeasures in advance to any varieties of the downstream traffic flow conditions. Some typical applications include achieving safer and smoother traffic flow (Milanes et al, 2012) and transport energy/emission reductions (Ma and Martensson, 2012).…”

Section: Introductionmentioning

confidence: 99%

Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication

Jia

Ngoduy

2016

Transportation Research Part B: Methodological

174

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Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication are emerging components of intelligent transport systems (ITS) based on which vehicles can drive in a cooperative way and, hence, significantly improve traffic flow efficiency. However, due to the high vehicle mobility, the unreliable vehicular communications such as packet loss and transmission delay can impair the performance of the cooperative driving system (CDS). In addition, the downstream traffic information collected by roadside sensors in the V2I communication may introduce measurement errors, which also affect the performance of the CDS.The goal of this paper is to bridge the gap between traffic flow modelling and communication approaches in order to build up better cooperative traffic systems. To this end, we aim to develop an enhanced cooperative microscopic (car-following) traffic model considering V2V and V2I communication (or V2X for short), and investigate how vehicular communications affect the vehicle cooperative driving, especially in traffic disturbance scenarios. For these purposes, we design a novel consensus-based vehicle control algorithm for the CDS, in which not only the local traffic flow stability is guaranteed, but also the shock waves are supposed to be smoothed. The IEEE 802.11p, the defacto vehicular networking standard, is selected as the communication protocols, and the roadside sensors are deployed to collect the average speed in the targeted area as the downstream traffic reference. Specifically, the imperfections of vehicular communication as well as the measured information noise are taken into account. Numerical results show the efficiency of the proposed scheme. This paper attempts to theoretically investigate the relationship between vehicular communications and cooperative driving, which is needed for the future deployment of both connected vehicles and infrastructure (i.e. V2X).

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An Intelligent V2I-Based Traffic Management System

Cited by 171 publications

References 29 publications

Cooperative controllers for highways based on human experience

Cooperative controllers for highways based on human experience

Road collisions avoidance using vehicular cyber-physical systems: a taxonomy and review

Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication

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