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Machine to machine communication in intelligent transportation is a technology that aims to interconnect various components such as sensors, vehicles, road infrastructures and wireless networks. The significance thereof is to solve problems such as road congestion, road accidents and high vehicle fuel consumption. This paper gives an overview of how Machine-to-machine (M2M) communication can be used...
Outdoor localization is of great importance for driving navigation, attracting many research efforts in past decades. Prevailing GPS achieves meter-level localization accuracy under general outdoor conditions. Yet, GPS service performs poorly in urban canyons where skyscrapers blocks GPS signals and drain mobile phone battery quickly within few hours. In this work, we exploit common city facilities,...
Cultural diversity of large crowds is one of the major concerns when participants overstep the predefined guidelines. Such behaviors eradicate crowds' safety, resulting massive casualties. Advent of tracking devices and smartphones with multiple sensing abilities can leverage to capture crowds' real-time spatio-temporal (ST) data to serve emergency service plans. In this paper, we present a Spatio-Temporal...
We detail a sensing method used as a redundant sensor in automated vehicles. A monocular camera can be used to determine the bearing to a target, and this work extends the sensor capabilities to estimate the distance to the target. For a 640×400 pixel camera, the distance estimation has a 3m sensing range. A modified pure pursuit algorithm is presented which allows vehicle following at close proximity...
In a country where 4000 people die annually in the capital due to road accidents and improper road conditions, the severity of denial of proper infrastructure is high in terms of both fatality and medical investments. Within the country, 40% of the total number of deaths that occur on roads include motorcycles and blood loss is a major factor in most of these cases. 70% of the total number of deaths...
This paper presents the design of a modular, Scalable Enhanced Road Side Unit for use as part of a comprehensive Intelligent Transportation System based on the concept of Internet of Things (IoT). The proposed unit is designed to collect information using a variety of sensors and an on-board camera. The collected information can then be uploaded to a central server for actions such as speed limit...
Modern vehicles are equipped with a lot of hard-and software systems that all generate in-vehicle data. Application development could benefit from a generic data acquisition layer to create a healthy, transparent and ethical data sharing environment. This paper investigates which policies are necessary in order to create this environment to stimulate development of applications that require access...
Continuous growing interest in IoT applications particularly for a smart city setting has attracted many researchers. E-health applications in IoT networks are the newest area of interest in this research field. On the other hand, networking and communications fields are witnessing a revolution through the new concepts of Mobile Edge Computing (MEC) characterised by latency sensitivity and geographical...
With the advance of various location-acquisition technologies, a myriad of GPS trajectories can be collected every day. However, the raw coordinate data captured by sensors often cannot reflect real positions due to many physical constraints and some rules of law. How to accurately match GPS trajectories to roads on a digital map is an important issue. Many existing methods still cannot meet stringent...
Recently, with the integration of Hadoop framework in the resolution of many related transportation problems, it has been show that the concept of parallel and distributed computing plays an important role in the management of large-scale traffic data. The advantages of Hadoop components allow intensive computing with huge volume of streaming data which cannot be processed by traditional Intelligent...
Road conditions play a critical role in ensuring traffic safety and reducing traffic jams and congestions. Ensuring healthy conditions require constant monitoring to detect and predict potential road deterioration. This work proposes a low-cost solution that takes advantage of sensory capabilities of smartphones. By recording Gyro rotation sensor data, we show that abnormalities can be detected by...
Single materials have colors which form straight lines in RGB space. However, in severe shadow cases, those lines do not intersect the origin, which is inconsistent with the description of most literature. This paper is concerned with the detection and correction of the offset between the intersection and origin. First, we analyze the reason for forming that offset via an optical imaging model. Second,...
Road traffic estimation systems can rely nowadays on an increasing number and variety of sensors and data sources to provide better coverage and accuracy, from standard static detectors to, more recently, location traces obtained possibly from individual drivers' smartphones. Motivated by privacy concerns raised by such systems, this paper discusses a methodology for estimating the macroscopic traffic...
In this paper, we introduce a road surface conditionunderstanding and sharing system. Traffic accidents and obstructionsdue to bad weather conditions and poor road conditions areserious social problems. It is necessary for drivers to understandweather and road conditions in advance to avoid traffic accidentsand obstructions and it is necessary to alert drivers to weatherand road conditions in order...
Illumination changes such as shadows significantly affect the accuracy of various road detection methods, especially for vision-based approaches with an on-board monocular camera. To efficiently consider such illumination changes, we propose a PCA based technique, PCA-II, that finds the minimum projection space from an input RGB image, and then use the space as the illumination-invariant space for...
Ground transport infrastructures require in-situ monitoring to evaluate their condition and deterioration and to design appropriate preventive maintenance strategies. Current monitoring practices provide accurate and detailed spatial measurements but often lack the required temporal resolution. This is because the large scale of these infrastructures and the expensive equipments required for monitoring...
Interpolation of data in smart city architectures is an eminent task for the provision of reliable services. Furthermore, it is a key functionality for information validation between spatiotemporally related sensors. Nevertheless, many existing projects use a simplified geospatial model that does not take the infrastructure, which affects events and effects in the real world, into account. There are...
Smartphones have revolutionized the way infrastructure health monitoring applications operate. Their ubiquitous sensing and communication capabilities have made measurement data for infrastructural health monitoring applications easily available. They, however, also introduced a new challenge, namely the huge amount of data that is generated. This new reality prompts the need for efficient techniques...
The project aims at saving energy by detecting the vehicle movement on highways and switching on the block of street light ahead of it and simultaneously switching off the trailing lights. This project requires a sensor to detect the day and night and an array of piezoelectric sensors to detect the vehicle movements and accordingly switching on the lights ahead of it. So when there are no vehicles...
Intelligence applications are being developed that make machines more sophisticated in their way of learning and to make decisions. Accident is a specific, unpredicted external action that happens unexpectedly with no apparent or deliberate cause but with marked effects. With the increasing number of bike riders and the number of accidents happening each year our paper focuses on the methods that...
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