scholarly journals In-vehicle sensor-assisted platoon formation by utilizing vehicular communications

2017 ◽  
Vol 13 (7) ◽  
pp. 155014771771875 ◽  
Author(s):  
Dongliang Su ◽  
Sanghyun Ahn
Keyword(s):  
Intelligent Transportation System ◽  
Sensory Information ◽  
Intelligent Transportation ◽  
Fuel Saving ◽  
Vehicular Communications ◽  
Related Information ◽  
Road Capacity ◽  
The Stability ◽  
Vehicle Sensors ◽  
Vehicle Sensor

These days, vehicles are equipped with in-vehicle sensors so that they can collect the situation-related information, such as velocity, heading, and position. From the viewpoint of intelligent transportation system, platooning is getting more attention because of its advantages of increased road capacity, fuel saving, safety, and so on. In this article, we propose a mechanism that allows vehicles to form platoons based on their own and 1-hop neighbors’ sensory information obtained from vehicular communications. Within a platoon, the front vehicle is the leader whose role is leading the platoon, so the stability of the leader is the most critical performance factor of platooning. To achieve this, we propose to use relative mobility information of vehicles computed from the sensory information for the leader election. The performance of our platooning mechanism is evaluated by carrying out ns-3-based simulations, especially from the perspective of leader stability and road capacity.

scholarly journals Vehicle Number Management using Hbase

2019 ◽  
Vol 8 (4) ◽  
pp. 3382-3388
Keyword(s):  
Traffic Control ◽  
Intelligent Transportation System ◽  
Medical Science ◽  
Real Life ◽  
Intelligent Transportation ◽  
Intelligent Monitoring ◽  
Vehicle Traffic ◽  
Related Information ◽  
Vehicle Information ◽  
Processing Techniques

Intelligent Monitoring and Recording System (IMRS) is being used in many fields like Aviation Traffic control, Transportation, Real Estate, Medical Science and more. One of the IMRS system is Vehicle Traffic on roads. Intelligent Transportation System (ITS) is an important part of IMRS which is used to collect and analyze the statistics related to the Vehicle Traffic. This paper gives an insight of the ITS by using open source tools which are easy to implement. Large datasets of vehicle information has been taken into the experiments of this paper. Utilizing different digital image processing techniques, we have extracted vehicle number from the number plates. Technically, this paper is based on ITS in which two main features has been designed, first is to store Vehicle related information in the Hbase. Another feature is to retrieve the data, on the basis of the vehicle number, from the database giving the details of the vehicle including Road Tax, Insurance and Stolen status and also inform the possessor about the invalidity of Insurance, Registration Certificate (RC) and License. Time and accuracy are two challenges in performing the IMRS in a real life scenario. It has been observed that the proposed system is 27% faster than Automatic Number Plate Recognition (ANPR) on the basis of two comparative parameters i.e. Precision and Recall

A Novel Approach for Data Communication and Safety Concern in VANET Using Cognitive Radio

2017 ◽  
Vol 7 (11) ◽  
pp. 174 ◽  
Author(s):  
Ishu Bansal ◽  
Rajnish Kansal
Keyword(s):  
Routing Protocols ◽  
Intelligent Transportation System ◽  
Safety Concern ◽  
Data Communication ◽  
Intelligent Transportation ◽  
Safety Message ◽  
Novel Approach ◽  
Transmission Of Information ◽  
Minimum Delay ◽  
Road Side Units

VANET is branch of networking that is used for communication in intelligent transportation system. In this process of VANET various nodes are interconnected to each other and road side units. R2R, V2V and V2R communication has been done in VANET. Due to variouscommunications under VANET routing protocols have overhead for computation of shortest path and transmission of information with minimum delay. Delay in the network cause minimum safety. In this paper an approach has been proposed that can be used for transmission of safety message over the network with minimum delay. On the basis of proposed approach safety message can be transmitted in shortest interval of time so that safety can be achieved in the network.

scholarly journals LPWAN-based hybrid backhaul communication for intelligent transportation systems: architecture and performance evaluation

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Taghi Shahgholi ◽  
Amir Sheikhahmadi ◽  
Keyhan Khamforoosh ◽  
Sadoon Azizi
Keyword(s):  
Low Power ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Intelligent Transportation ◽  
Traffic Monitoring ◽  
Transportation Systems ◽  
Area Network ◽  
Emergency Vehicle ◽  
Wide Area Network

AbstractIncreased number of the vehicles on the streets around the world has led to several problems including traffic congestion, emissions, and huge fuel consumption in many regions. With advances in wireless and traffic technologies, the Intelligent Transportation System (ITS) has been introduced as a viable solution for solving these problems by implementing more efficient use of the current infrastructures. In this paper, the possibility of using cellular-based Low-Power Wide-Area Network (LPWAN) communications, LTE-M and NB-IoT, for ITS applications has been investigated. LTE-M and NB-IoT are designed to provide long range, low power and low cost communication infrastructures and can be a promising option which has the potential to be employed immediately in real systems. In this paper, we have proposed an architecture to employ the LPWAN as a backhaul infrastructure for ITS and to understand the feasibility of the proposed model, two applications with low and high delay requirements have been examined: road traffic monitoring and emergency vehicle management. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end-to-end latency per user. Simulation of Urban MObility has been used for realistic traffic generation and a Python-based program has been developed for evaluation of the communication system. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure mostly in favor of the LTE-M over NB-IoT.

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