Analysis and improvement of vehicle information sharing networks

Gong, Hang; He, Kun; Qu, Yingchun; Wang, Pu

doi:10.1016/j.physa.2016.01.062

Cited by 6 publications

(5 citation statements)

References 22 publications

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“…The stochastic broadcast range in VANET and numerical estimation algorithm of it based on generalized vehicle distribution and V2V packet loss models was studied in [82]. Furthermore, [83] analyzed a method to extend the information sharing network's coverage by adding long-range connections between targeted vehicle clusters. The author in [84] investigated and focused on exploring the effect of the air density on the performance of a V2V with DSCR based communication system in a foggy environment.…”

Section: ) Study Conducted To V2v Communicationsmentioning

confidence: 99%

“…Other benefits related to V2V interoperability provide all information required of connected vehicles through vehicular networks. Furthermore, various studies have discussed improving the coverage of the vehicle information sharing network [83]; providing vehicles with a local proximity map of their vicinity [39], service to stuck vehicles in tunnels [70], and localisation system availability and precision improvement by eliminating the restriction of all vehicles having GPS; and using data fusion techniques to estimate vehicle location [7], [77], [107], [108], [139].…”

Section: ) Benefits Related To V2v Interoperabilitymentioning

confidence: 99%

“…Safety-based V2V applications have to fulfill quality requirements to help drivers in critical situations on rural and motorway roads, as well as in urban and inner-city areas [74], [115]. Furthermore, such applications should effectively extend the coverage and improve the efficiency, comfort and safety of drivers [83]. Several researchers are concerned about the delay of data due to high traffic mobility among vehicles during communication, which represents a huge challenge [64].…”

Section: ) Concerns On Road Safetymentioning

confidence: 99%

“…Multiple lane scenarios will be evaluated in depth to increase the understanding of scenarios involving vertical relative angle and derive applicable observations for actual traffic and map for Jakarta [102]. Vehicle speed will be further analysed by considering highway tests and increased speeds at urban locations [85], and coverage and efficiency of vehicle information sharing networks are of significant importance for future IoV [83].…”

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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Section: ) Study Conducted To V2v Communicationsmentioning

confidence: 99%

Section: ) Benefits Related To V2v Interoperabilitymentioning

confidence: 99%

Section: ) Concerns On Road Safetymentioning

confidence: 99%

Section: ) New Standard Recommendation For V2v Systemsmentioning

confidence: 99%

See 2 more Smart Citations

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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“…One such topic is to find the fastest path between a given origin (O) and destination (D) amongst multiple routes with time varying congestion. Many papers [9][10][11][12] have been published on the "OD" problem, frequently with the emphasis on mathematical techniques, such as the Dijkstra algorithm [13], to find the fastest route in a computationally efficient way. In the presence of congestion, the fastest route might not be the shortest route.…”

Section: Introductionmentioning

confidence: 99%

Dynamic origin-to-destination routing of wirelessly connected, autonomous vehicles on a congested network

Davis¹

2017

Physica A: Statistical Mechanics and its Applications

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Up-to-date information wirelessly communicated among vehicles can be used to select the optimal route between a given origin and destination. To elucidate how to make use of such information, simulations are performed for autonomous vehicles traveling on a square lattice of roads. All the possible routes between the origin and the destination (without backtracking) are of the same length.Congestion is the only determinant of delay. At each intersection, right-of-way is given to the closest vehicle. There are no traffic lights. Trip times of a subject vehicle are recorded for various initial conditions using different routing algorithms. Surprisingly, the simplest algorithm, which is based on the total number of vehicles on a route, is as good as one based on computing travel times from the average velocity of vehicles on each road segment.

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CPAODV: Classifying and Assigning 3 Level Preference to the Nodes in VANET Using AODV Based CBAODV Algorithm

Arulkumar

Galety

Manimaran³

2020

Learning and Analytics in Intelligent Systems

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Analysis and improvement of vehicle information sharing networks

Cited by 6 publications

References 22 publications

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

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

Dynamic origin-to-destination routing of wirelessly connected, autonomous vehicles on a congested network

CPAODV: Classifying and Assigning 3 Level Preference to the Nodes in VANET Using AODV Based CBAODV Algorithm

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