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Due to the proliferation in the number of vehicles on the road, traffic problems are bound to exist. Therefore, the use of Intelligent Transportation Systems (ITS) has become mandatory for obtaining traffic information from roads. Radio Frequency Identification (RFID) technology has been used to obtain vehicles’ IDs (tag ID) from RFID readers and t...
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Citations
... It is based on a time management method that calculates a sophisticated schedule for the passage of each traffic column in real-time. (Al-Naima & Hamd, 2012) proposed an RFID-based simulation framework for Vehicle Traffic Congestion Estimation (VTCE). An RFID reader reads vehicle tags and transfers the collected data to a database in a central computer system (CCS). ...
Due to the massive population increase and the overcrowding of transport networks, traffic accidents are also increasing. These accidents cause colossal material and moral losses and are considered a hindrance to development. Accidents are frequently triggered by a combination of variables rather than a single cause. The most effective way to reduce these accidents is to activate the control systems, detect violators of traffic laws promptly, and deter potential violators. Traffic violation detection systems (TVDS) are an effective
solution to help traffic management authorities. TVDS can detect traffic rules violations, such as escaping from red lights and over-speeding. However, despite the diversity of existing systems, there is no comprehensive research that abstracts the used systems and
technologies as a foundation for TVDS. Therefore, this paper proposed an extensive analytical collection of the techniques used to build TVDS. This survey paper aims to provide a source that can reference organizing ideas and direct research in a promising direction. Furthermore, many techniques are used to build TVDS. However, the most important and promising ones like Vehicular Ad Hoc Network (VANET), Radio Frequency Identification (RFID), and Artificial intelligence (AI) are discussed, analyzed, and compared with details in this paper.
... The growing number of vehicles and increased population have triggered to the requirement of effective traffic management systems. An Intelligent Transportation System (ITS) is an effective approach to solve traffic problems without building any extra physical infrastructure such as tunnels and bridges [3]. It applies Information and Communication Technologies (ICT) to the online transportation systems to improve performance and help to alleviate traffic congestion and optimize fuel consumption [4]. ...
... RFID is shaping up to be an important building block for the IoT. The affordable cost with improved benefits has made RFID a reliable technology with a competitive advantage [3]. RFID is highlighted as one of the converging technologies and main catalyst playing a significant role in this project. ...
... The static infrastructure is designed to access, process and share the data from identification tags [26]. Israeli Waze and Brazilian Wabbers crowd sourcing services have been implemented for a navigating the users using GPS to aware of accurate congestion in the highway via automatic data acquisition [27]. The bus dispatch model was accomplished to offer arrival time, the current location of public bus transport using the Internet and smart mobile devices. ...
The development of the Internet of Things facilitates various dimensionalities in a home, industrial and business applications. The integration of sensors and smart objects with accessible infrastructure makes the efficient data processing and decreases the human resource, operating time. The novel smart traffic control framework is proposed using local traffic smart server and remote cloud server to improve the traffic signal processing time that reduces the vehicles’ waiting time, congestion and pollution at the roadway intersection. This approach is also capturing the vehicle’s transition that is used to track high-speed vehicles. Optimized regression algorithm is proposed to collect multi-path data and compute single-point nifty decision using waiting vehicle density at four-direction roadway intersection. The sensor data is processed using regression algorithm and take the decision to change the lamp onset. The case study implementation has been demonstrated for four-direction roadway by considering the existing infrastructure with Arduino Uno kit and evaluated the smart traffic framework by comparing with normal traffic system. The results prove that proposed framework smooth the progress of hassle-free travel by reducing the waiting time for the green lamp onset, and also can be use the recorded vehicles images to track the high-speed vehicles.
... The growing number of vehicles and increased population have triggered to the requirement of effective traffic management systems. An Intelligent Transportation System (ITS) is an effective approach to solve traffic problems without building any extra physical infrastructure such as tunnels and bridges [3]. It applies Information and Communication Technologies (ICT) to the online transportation systems to improve performance and help to alleviate traffic congestion and optimize fuel consumption [4]. ...
... RFID is shaping up to be an important building block for the IoT. The affordable cost with improved benefits has made RFID a reliable technology with a competitive advantage [3]. RFID is highlighted as one of the converging technologies and main catalyst playing a significant role in this project. ...
Internet of Things has become one of the most challenging issues in many researches to connect physical things through the internet by creating a virtual identity for everything. Traffic congestion in Riyadh city is chosen due to the proliferation in the number of vehicles on Riyadh roads that is resulting in grumbling by residents. Currently, there are few reliable services offered to residents from the traffic department enabling them to access traffic information. A new traffic congestion framework for Riyadh is proposed to help the development of traffic congestion services. This framework aims to benefit from the current Riyadh road infrastructure and apply the Internet of Things paradigm for detecting traffic congestion with Everything as a Service approach. Sensing devices are used to identify the congestion of the traffic flow through providing multiple proposed services such as a vehicle counting, live streaming video and rerouting services. Users are able to access the services by using proposed mobile application connected to the internet, as those services are integrated with public map service. By using the services, the users are able to identify the exact location where congestion occurs and an alternate solution can be provided easily. To achieve this, Business Process Execution Language is embedded as a supporting framework layer. Due to the effectiveness in this layer, executable workflows are designed to combine the proposed services with the legacy Riyadh services as individual model. This approach clearly defines how the services are executed through the proposed models. A quantitative evaluation is provided to support the usability of this research.
... The growing number of vehicles and increased population have triggered to the requirement of effective traffic management systems. An Intelligent Transportation System (ITS) is an effective approach to solve traffic problems without building any extra physical infrastructure such as tunnels and bridges [3]. It applies Information and Communication Technologies (ICT) to the online transportation systems to improve performance and help to alleviate traffic congestion and optimize fuel consumption [4]. ...
... RFID is shaping up to be an important building block for the IoT. The affordable cost with improved benefits has made RFID a reliable technology with a competitive advantage [3]. RFID is highlighted as one of the converging technologies and main catalyst playing a significant role in this project. ...
... The growing number of vehicles and increased population have triggered to the requirement of effective traffic management systems. An Intelligent Transportation System (ITS) is an effective approach to solve traffic problems without building any extra physical infrastructure such as tunnels and bridges [3]. It applies Information and Communication Technologies (ICT) to the online transportation systems to improve performance and help to alleviate traffic congestion and optimize fuel consumption [4]. ...
... RFID is shaping up to be an important building block for the IoT. The affordable cost with improved benefits has made RFID a reliable technology with a competitive advantage [3]. RFID is highlighted as one of the converging technologies and main catalyst playing a significant role in this project. ...
... The rapid increase in road traffic appears to be one of the major problems facing urban and sub-urban areas in recent years. Traffic congestion and jams are one of the main problems that must be solved [1]. So, Analyses of V2V communications systems have drawn a great attention by many considerable researchers aim to reduce traffic jams, accident rate and time to reach the destination [2]. ...
Vehicle-to-Vehicle (V2V) communication system is a network of vehicles that communicate with each other to exchange information. The environment between vehicles affect in the signals that travel from the transmitter to the receiver, subsequently, it is important to comprehend the underlying characteristics propagation channels. This paper discusses and models some of the key metrics such as path loss, power delay profile, and delay spread at 5.2 GHz carrier frequency. The analyses are presented for two scenarios; both of the transmitter and receiver are stationary and in moving case with considering the direction of the moving and the separation between the vehicles. Likewise, a probability of a presence of some impediments in between of the vehicles with various separations is considered. The achieved results show that path loss for many types of environments may be predicted with using the presented model channel Model and location of the obstacles is sensitive to the received signals.
... Many proposed solutions use intrusive sensors such as inductive and pneumatic loops [4]. As per their design, these tools disrupt traffic flow during installation and maintenance, moreover these tools are relatively expensive to install and maintain [5]. Other tools which are non-intrusive include visual and acoustic sensors; they too however are comparatively expensive and have accuracy issues. ...
... The other most common application of RFIDs that is meant to manage congestion, is similar to the one being suggested here. The uniqueness of our proposed solution is the inclusion of fuzzy logic; further, the focus of the solution is on the volume and modal speed of vehicles [5]. ...
Maseru is the capital city of Lesotho and is a relatively small city with roughly 67 vehicles registered each day. Traffic lights are used with the intension of effectively managing vehicular traffic at junctions. These traffic lights follow a predetermined sequence usually based on historic data. As a result of this design, they inherently fail to efficaciously manage traffic flow when it is abnormal. Vehicles on one side have to wait even though there are no cars on other sides of the road. The consequences of this include increased congestion and atmospheric air pollution. Technological advancements have resulted in the now widely researched Internet of Things paradigm with one of its applications being vehicular traffic management. The focus of this paper is the design of a prototype reactive system based on Internet of Things whose functionality includes traffic lights that are capable of reacting to prevailing conditions. The system makes use of Radio Frequency IDentifier technology and mobile tools to ubiquitously collect traffic data and disseminate value added traffic information.
... Some authors report studies using a tag-based vehicle information, such as global positioning satellite-GPS (Fleischer et al., 2012) or tag-based vehicle (Fawzi M. Al-Naima, 2012). However tagged tracking presents privacy-related problems since personal identification is possible and because vehicles requires installation of sensors. ...
Automatic counting of vehicles and estimation of origin-destination tables have become potential applications
for traffic surveillance in urban areas. In this work we propose an alternative to Optical Flow tracking to segment
and track vehicles with scale/size variation during movement known as adaptive size tracking problem.
The performance evaluation of our proposed framework has been carried out on both public and privacy data
sets. We show that our approach achieves better origin destination tables for urban traffic than the Optical
Flow method which is used as baseline.
Any road traffic management application of intelligent transportation systems (ITS) requires traffic characteristics data such as vehicle density, speed, etc. This paper proposes a robust and novel vehicle detection framework known as multi-layer continuous virtual loop (MCVL) that uses computer vision techniques on road traffic video to estimate traffic characteristics. Estimations of traffic data such as speed, area occupancy and an exclusive spatial feature named as corner detail value (CDV) acquired using MCVL are proposed. Further, the estimation of traffic congestion (TraCo) level using these parameters is also presented. The performances of the entire framework and TraCo estimation are evaluated using several benchmark traffic video datasets and the results are presented. The results show that the improved accuracy in vehicle detection process using MCVL subsequently improves the precision of TraCo estimation. This also means that the proposed framework is well suited to applications that need traffic characteristics to update their traffic information system in real time.
