V2X Protocols for Low-Penetration-Rate and Cooperative Traffic Estimations

Bellavista, Paolo; Zamagni, Elisa

doi:10.1109/vtcfall.2014.6966225

Cited by 20 publications

(6 citation statements)

References 5 publications

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“…The data were collected over three days (from November 11 (Tue) to November 13 (Thu), 2008) with 636 detectors in Bologna; the data include peak hours in the morning. Therefore, many researchers have used the data for the simulation of V2X communications [41], [42].…”

Section: F Models and Parameters In Practical Performance By Realistic Node Distributions Evaluationsmentioning

confidence: 99%

Node Clustering Communication Method With Member Data Estimation to Improve QoS of V2X Communications for Driving Assistance With Crash Warning

Hirai

Murase

2019

IEEE Access

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This paper proposes a low-cost cluster-based method called CLASES that employs a cluster members' data estimation mechanism to improve Quality of Services (QoS) of Vehicle-to-Everything communications for driving assistance with Crash Warning Application (CWA). The idea of the proposed method is to use the estimation mechanism by cluster heads and the estimation error correction mechanism by cluster members, instead of collecting member's data by intracluster communications, which most conventional cluster-based methods have used. Intracluster communications require some additional costs or reduce the bandwidth of intercluster communications; therefore, we can use the proposed method at low costs in comparison with the conventional methods. The proposed method also enables to control the number of active nodes by an advantage of clustering; that is, the proposed method appropriately adjusts the number of nodes that are likely to transmit frames simultaneously. Thus, data frames are transmitted as parallel as possible while suppressing the probability of frame collision errors, and the QoS improves. On the other hand, the disadvantage is that the error correction mechanism yields some additional frames, and the QoS deteriorates. We evaluated the performance of the proposed method in various parameters. The results show that the proposed method accommodate more nodes by 27 % than that of the method without clustering even at the realistic occurrence frequency of the estimation errors. Thus, this paper contributes to providing the improving QoS for CWA at low costs.

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Section: F Models and Parameters In Practical Performance By Realistic Node Distributions Evaluationsmentioning

confidence: 99%

Node Clustering Communication Method With Member Data Estimation to Improve QoS of V2X Communications for Driving Assistance With Crash Warning

Hirai

Murase

2019

IEEE Access

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“…In other words, it is not clear if any of these prototype systems can be implemented if only a small portion of the vehicles on the road (such as 20-30%) are equipped with DSRC radios. COLOMBO is another interesting project that focuses on low-penetration rate of DSRC-equipped vehicles [18]- [20]. The designed system aims at using the information provided by V2X technology, as well as other data obtained from cellular systems and WiFi direct connections by feeding this information to a traffic management system.…”

Section: Related Workmentioning

confidence: 99%

Increasing Traffic Flows with DSRC Technology: Field Trials and Performance Evaluation

Zhang

Schmutz

Gerard

et al. 2018

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

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As traffic congestion becomes a huge problem for most developing and developed countries across the world, intelligent transportation systems (ITS) are becoming a hot topic that is attracting attention of researchers and the general public alike. In this paper, we demonstrate a specific implementation of an ITS system whereby traffic lights are actuated by DSRC radios installed in vehicles. More specifically, we report the design of prototype of a DSRC-Actuated Traffic Lights (DSRC-ATL) system. It is shown that this system can reduce the travel time and commute time significantly, especially during rush hours. Furthermore, the results reported in this paper do not assume or require all vehicles to be equipped with DSCR radios. Even with low penetration ratios, e.g., when only 20% of all vehicles in a city are equipped with DSRC radios, the overall performance of the designed system is superior to the current traffic control systems.

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“…In this paper, we focus only on traffic surveillance solutions, an area in which most literature has concentrated on estimating very basic indicators such as the number of mobile vehicles inside a targeted area, usually called density, thus gathering only a general concise overview of the traffic state. The methods used to collect the information can make use of a clustering approach to group the nodes together if they are moving in the same general direction [ 13 ] or if they are close to a fixed point [ 14 ]; or it can make use of direct communications between the participating nodes and, when present, the infrastructure support points (e.g., RSUs), such as in [ 15 , 16 , 17 ]. While the goal of the present paper is the presentation of a quantitative comparison and benchmark of notable existing proposals, for a qualitative and more exhaustive review of existing efforts in the field, we refer interested users to the survey [ 18 ].…”

Section: Cooperative V2x Traffic Surveillance: Background and Relamentioning

confidence: 99%

Cooperative Vehicular Traffic Monitoring in Realistic Low Penetration Scenarios: The COLOMBO Experience

Bellavista

Caselli

Corradi

2018

Sensors

Self Cite

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The relevance of effective and efficient solutions for vehicle traffic surveillance is widely recognized in order to enable advanced strategies for traffic management, e.g., based on dynamically adaptive and decentralized traffic light management. However, most related solutions in the literature, based on the powerful enabler of cooperative vehicular communications, assume the complete penetration rate of connectivity/communication technologies (and willingness to participate in the collaborative surveillance service) over the targeted vehicle population, thus making them not applicable nowadays. The paper originally proposes an innovative solution for cooperative traffic surveillance based on vehicular communications capable of: (i) working with low penetration rates of the proposed technology and (ii) of collecting a large set of monitoring data about vehicle mobility in targeted areas of interest. The paper presents insights and lessons learnt from the design and implementation work of the proposed solution. Moreover, it reports extensive performance evaluation results collected on realistic simulation scenarios based on the usage of iTETRIS with real traces of vehicular traffic of the city of Bologna. The reported results show the capability of our proposal to consistently estimate the real vehicular traffic even with low penetration rates of our solution (only 10%).

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V2X Protocols for Low-Penetration-Rate and Cooperative Traffic Estimations

Cited by 20 publications

References 5 publications

Node Clustering Communication Method With Member Data Estimation to Improve QoS of V2X Communications for Driving Assistance With Crash Warning

Node Clustering Communication Method With Member Data Estimation to Improve QoS of V2X Communications for Driving Assistance With Crash Warning

Increasing Traffic Flows with DSRC Technology: Field Trials and Performance Evaluation

Cooperative Vehicular Traffic Monitoring in Realistic Low Penetration Scenarios: The COLOMBO Experience

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