Surveillance on-the-road: Vehicular tracking and reporting by V2V communications

Investigating and Modeling of Cooperative Vehicle-to-Vehicle Safety Stopping Distance

Future Internet ◽

10.3390/fi13030068 ◽

2021 ◽

Vol 13 (3) ◽

pp. 68

Author(s):

Steven Knowles Flanagan ◽

Zuoyin Tang ◽

Jianhua He ◽

Irfan Yusoff

Keyword(s):

High Reliability ◽

Base Station ◽

Ieee 802.11P ◽

Packet Losses ◽

The Road ◽

V2v Communication ◽

Stopping Distance ◽

Vehicle To Vehicle ◽

V2v Communications ◽

On The Road

Dedicated Short-Range Communication (DSRC) or IEEE 802.11p/OCB (Out of the Context of a Base-station) is widely considered to be a primary technology for Vehicle-to-Vehicle (V2V) communication, and it is aimed toward increasing the safety of users on the road by sharing information between one another. The requirements of DSRC are to maintain real-time communication with low latency and high reliability. In this paper, we investigate how communication can be used to improve stopping distance performance based on fieldwork results. In addition, we assess the impacts of reduced reliability, in terms of distance independent, distance dependent and density-based consecutive packet losses. A model is developed based on empirical measurements results depending on distance, data rate, and traveling speed. With this model, it is shown that cooperative V2V communications can effectively reduce reaction time and increase safety stop distance, and highlight the importance of high reliability. The obtained results can be further used for the design of cooperative V2V-based driving and safety applications.

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Efficient Maintenance of AODV Routes in the Vehicular Communication Environment with Sparsely Placed Road Side Units

Mobile Information Systems ◽

10.1155/2018/6252907 ◽

2018 ◽

Vol 2018 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

Chanhyuk Cho ◽

Sanghyun Ahn

Keyword(s):

Recovery Time ◽

Vehicular Communication ◽

The Road ◽

Communication Environment ◽

Streaming Services ◽

Routing Mechanism ◽

V2v Communications ◽

On The Road ◽

Road Side Units ◽

Route Recovery

Thanks to the vehicular communication network, vehicles on the road can communicate with other vehicles or nodes in the global Internet. In this study, we propose an enhanced routing mechanism based on AODV so that road side units (RSUs) can provide continuous services such as video streaming services to vehicles which may be intermittently located outside of the coverage areas of RSUs. In the highway environment with sparsely placed RSUs, the communications between RSUs and vehicles are frequently disconnected due to high vehicular speeds. To resolve this problem, both V2I and V2V communications are utilized. In order to reduce the route recovery time and the number of route failures in the sparsely placed RSU environment, backup routes are established through the vehicles with longer direct communication duration with the RSU. The backup route substitutes the main route upon route disconnection. Also, for the efficient handover to the next RSU, the route shortening mechanism is proposed. For the performance evaluation of the proposed mechanism, we carried out the NS-3-based simulations.

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Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications

Sensors ◽

10.3390/s21155120 ◽

2021 ◽

Vol 21 (15) ◽

pp. 5120

Author(s):

Radwa Ahmed Osman ◽

Amira I. Zaki ◽

Ahmed Kadry Abdelsalam

Keyword(s):

Traffic Management ◽

Management Strategy ◽

Road Traffic ◽

Emergency Vehicle ◽

The Road ◽

V2v Communication ◽

Vehicle To Vehicle ◽

Proposed Model ◽

V2v Communications ◽

On The Road

Vehicle-to-vehicle communication is a promising paradigm that enables all vehicles in the traffic road to communicate with each other to enhance traffic performance and increase road safety. Through vehicle-to-vehicle (V2V) communication, vehicles can understand the traffic conditions based on the information sent among vehicles on the road. Due to the potential delay caused by traffic jams, emergency vehicles may not be able to reach their destination in the required time, leading to severe losses. The case is more severe especially in developing countries where no emergency-vehicle-dedicated lanes are allocated. In this study, a new emergency vehicle route-clarifying strategy is proposed. The new clarifying strategy is based on vehicular traffic management in different interference medium scenarios. The proposed model aims, through V2V communication, to find the nearest vehicle with which to communicate. This vehicle plays an important role in reducing the travel time: as the emergency message is received, this vehicle will immediately communicate with all the neighboring vehicles on the road. Based on V2V communications, all the vehicles in the road will clear from the lane in the road for the emergency vehicle can safely reach its destination with the minimum possible travel time. The maximum distance between the emergency vehicle and the nearest vehicle was determined under different channel conditions. The proposed strategy applied an optimization technique to find the varied road traffic parameters. The proposed traffic management strategy was evaluated and examined through different assumptions and several simulation scenarios. The obtained results validated the effectiveness and the accuracy of the proposed model, and also indicated significant improvement in the network’s performance in terms of packet delivery ratio (PDR) and average end-to-end delay (E2E).

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Share the Crowdsensing Data with Local Crowd by V2V Communications

Mobile Information Systems ◽

10.1155/2016/6406981 ◽

2016 ◽

Vol 2016 ◽

pp. 1-14 ◽

Cited By ~ 1

Author(s):

Chao Song ◽

Ming Liu ◽

Xili Dai

Keyword(s):

User Satisfaction ◽

Mobile Crowdsensing ◽

The Road ◽

V2v Communication ◽

Truth Discovery ◽

Academic Researchers ◽

V2v Communications ◽

On The Road ◽

The Cost

With an increase in the number of mobile applications, the development of mobile crowdsensing systems has recently attracted significant attention from both academic researchers and industries. In mobile crowdsensing system, the remote cloud (or back-end server) harvests all the crowdsensing data from the mobile devices, and the crowdsensing data can be uploaded immediately via 3G/4G. To reduce the cost and energy consumption, many academic researchers and industries investigate the way of mobile data offloading. Due to the sparse distribution of the WiFi APs, offloading the crowdsensing data is often delayed. In this paper, compared with offloading data via WiFi APs, we investigate the communication and sharing of crowdsensing data by vehicles near the event (such as a pothole on the road), termed as a local crowd. In such crowd, a vehicle can transmit the data to each other by vehicle-to-vehicle (V2V) communication. The crowd-based approach has a lower delay than the offloading-based approach, by considering the quality of truth discovery. We define a utility function related to the crowdsensing data shared by the local crowd in order to quantify the trade-off between the quality of the truth discovery and the user satisfaction. Our extensional simulations verify the effectiveness of our proposed schemes.

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