Floating Car Observer – An innovative vehicle-sensor for urban and highway scenarios

Naumann, Sebastian; Wolf, Franziska; Schönrock, René

doi:10.3182/20101005-4-ro-2018.00008

Cited by 3 publications

(5 citation statements)

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“…193 enhances traffic monitoring, management and adapting the schedule of traffic lights to reduce average delay and travel time. Provide the wireless communications to the traffic signals, traffic flow to the drivers so that the drivers can get adequate information to drive and could presents a new concept for traffic-flowoptimization [53][54], by using wide measuring of the oncoming traffic [55]. These applications used to evaluate the effectiveness and efficiency of giving control techniques [56] and fully distributed traffic information systems that enables traffic self-organization in smart cities [57][58].…”

Section: Traffic Management Applicationsmentioning

confidence: 99%

A review on vehicle to vehicle communication system applications

Ameen¹,

Mahamad²,

Saon³

et al. 2020

IJEECS

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<span>The field of automated vehicle technology is developing rapidly developing. While it is likely to be many years before self-driving cars are commercially viable and used in a wide range of conditions by the general public, technological advances are speeding along the automated technology continuum towards this destination. Automated vehicle technologies troth with significant social benefits such as reduced injuries and deaths, increased road efficiency, mobility. Automated vehicles can improve traffic safety, balance traffic flows, maximize road usage by offering driver warnings and/or assuming vehicle control in dangerous situations, as well as provide motorists with the best end-to-end transportation experience and reduce emissions, which are the most important goals of modern smart traffic control infrastructures. Exchanging data and integration of such systems with Vehicle-to-Vehicle (V2V) may be a keystone to successful readying of vehicular ad-hoc networks (VANETs) and will simply be the following step of this evolution, with dynamic period of time data exchange between all the players of the traffic dominant system and fostering cooperative urban quality. One of the applications of this concept is to provide vehicles and roads with the ability to make road time more enjoyable and also to make roads safer. These applications are typical examples of what an Intelligent Transportation System (ITS) is called, whose objective is to improve security by using new information and communication technologies (NTIC). In this paper, we will focus on the study of the main component in ITS systems and present a review of the major V2V benefits related to driver safety by focusing primarily on the recent developments of these systems.</span>

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Section: Traffic Management Applicationsmentioning

confidence: 99%

A review on vehicle to vehicle communication system applications

Ameen¹,

Mahamad²,

Saon³

et al. 2020

IJEECS

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show abstract

“…The third group presents the types of V2V communication article on the basis of real time and simulation. Works under this category comprise road safety and traffic management systems for vehicles and pedestrians [2], [66]- [69]. A service for vehicles stuck in tunnels with limited resources is provided in [70].…”

Section: ) Developmentmentioning

confidence: 99%

“…[90], [136] a new concept for traffic flow optimisation [134] using cloud and mobile application [67] and IoV application [40]; and online in-vehicle routing mechanism using real-time traffic information [105]. Other topics include a wide measuring of incoming traffic [69] and full distribution of traffic information systems that enable traffic selforganisation in smart cities [75], [132]. Research has been performed on designing efficient microscopic traffic simulation model for such vehicles, including a robust protocol for exchanging information to improve and reduce traffic congestion, minimise average delay for vehicles [44], [56], [57], [73], [94], [100], simulations and an experimental model pertaining to the performance of IEEE 802.11p communication standard to reduce traffic congestion [66] and robust decision support tool for cooperative traffic simulation [65].…”

Section: E Motivationsmentioning

confidence: 99%

“…Efficient traffic control and management for highway and urban area must maximise roadway capacity usage, balance traffic flows, decrease emission and improve traffic safety and travel time prediction [22], [44], [66], [69], [129], [131], [132], [134], which pose a fundamental and urgent challenge in ever-growing cities and cooperative systems to ease heavy traffic [5], [65], [90], [129]. Realistic and efficient traffic simulation models do not consider independent and autonomous traffic participants other than different types of car and conflicts between user optimality and system optimality to explore introduced measurement errors [56], [64].…”

Section: ) Concerns On Trafficmentioning

confidence: 99%

“…Extending the architecture into a comprehensive framework for HetVNETs and focusing on large-scale deployment [129] consider heterogeneous traffic scenarios, where combinations of connected, not connected, automated, and nonautomated vehicles share a road space [135]. Further studies might focus on experiments with actual cars and testing environments [28,122], apply algorithms for moving cars [89] and integrate floating car observer modules into customary cars in rural areas and highway sites [3], [51], [69]. Increased ranging accuracy can enable detailed bidirectional data exchange for ITS precision [5], [51].…”

Section: ) New Standard Recommendation For V2v Systemsmentioning

confidence: 99%

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A Deep Review and Analysis of Data Exchange in Vehicle-to-Vehicle Communications Systems: Coherent Taxonomy, Challenges, Motivations, Recommendations, Substantial Analysis and Future Directions

et al. 2019

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Data exchange in Vehicle-to-vehicle (V2V) communications systems is a field that requires automated solutions, tools and methods and the capability to facilitate early detection and even a prediction. Many studies have focused on V2V system and its classification to improve road safety, reduce traffic congestion and help streamline the vehicle flow on the road. This study aims to review and analyse literature related to data exchange in V2V communications systems. The factors considered to improve the understanding of the field's various contextual aspects were derived from published studies. We systematically searched all articles about the classification and detection of data exchange in vehicles, as well as their evaluation. Three main databases, namely, ScienceDirect, Web of Science and IEEE Xplore from 2008 to 2018, were used. These indices were considered sufficiently extensive to encompass our literature. On the basis of our inclusion and exclusion criteria, 140 articles were selected. Most articles (53/140) are studies conducted in a V2V communication system; a number of papers (51/140) covered the actual attempts to develop V2V communications; and few papers (18/140) comprised framework proposals and architectures. The last portion (18/140) of articles presented review and survey articles. V2V collision avoidance system, which is a field requiring automated solutions, tools and methods, entails the capability to facilitate early detection. Several studies have been performed on the automatic detection of V2V and their subtypes to promote accurate detection. The basic characteristics of this emerging field are identified from the aspects of motivations, open challenges that impede the technology's utility, authors' recommendations and substantial analysis of the previous studies are discussed based on seven aspect (devices, number of scenario, test location, types of sensors, number of vehicle, evaluation techniques used and types of software). A propose research methodology as new direction is provided to solve the gaps identified in the analysis. This methodology consists of four phases; investigation, develop a hardware system, study and analysis, and evaluation phases. However, research areas on V2V communication with the scope of data exchange are varied. This systematic review is expected to open opportunities for researchers and encourage them to work on the identified gaps.

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