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General vehicles have much potential to contribute to city surveillance in a context of Smart City. Vehicular crowd sensing is essential for reasonable and sustainable city surveillance. We propose route control method to enhance sensing coverage of crowd sensing system. The method is composed of sensing demand-aware cost assignment and a cooperative path reservation. We performed a traffic simulation...
Vehicular networks provide the basis for a wide range of both safety and non-safety applications. One of the key challenges for wide acceptance is to which degree the drivers' privacy can be protected. The main technical privacy protection mechanism is the use of changing identifiers (from MAC to application layer), so called pseudonyms. The effectiveness of this approach, however, is clearly reduced...
Traffic light is regarded as one of the most effective ways to alleviate traffic congestion and carbon emission problems. However, traditional traffic light cannot meet the challenges in traffic regulation posed by the fast growing number of vehicles and increasing complexity of road conditions. In this paper, we propose a dynamic traffic regulation method based on virtual traffic light (VTL) for...
Physical events in the real world are known to trigger reactions and then discussions in online social media. Mining these reactions through online social sensors offers a fast and low cost way to understand what is happening in the physical world. In some cases, however, further study of the affected population's emotional state can improve this understanding. In our study we analyzed how car commuters...
The convergence of physical and digital worlds is creating unprecedented opportunities to enhance the travel experience for millions of people every day. A key to the success of these systems is a good understanding of driver behaviour under the influence of travel information. This paper presents the application of a new generation of driver behaviour models, based on neural agent (neugent) techniques,...
Traffic congestion impacts turn-around-time, productivity, economy and global warming. It is one of the significant challenges the world is facing and hence there is a focused approach to address the same. Parameters-of-significance (PoS) to monitor traffic congestion are identified and research is carried out to define enabling technologies to monitor these PoS. As of now signaling electronics is...
This paper demonstrates the automated traffic surveillance without any human intervention. The aim of this paper is to detect the traffic density and to work according to the traffic density. The traffic signal is structured with the camera which takes the snap of the road and the density is identified. Hence by this method the traffic is analyzed and the lights are transferred according to the traffic...
The paper presents a real time traffic monitoring system that makes use of image processing algorithm to detect and estimate the of count of vehicles using motion detection approach. Traffic congestion is a serious issue, which is the root cause of a series of serious problems. Conventional traffic light controllers have limitations because they make use of the predefined hardware, whose functioning...
Because of the increasing number of vehicles, traffic congestion has become a significant problem for many big cities. Numeric representations of traffic congestion cause deep concern in the population, and existing indices of traffic congestion are difficult to understand. In this paper, we propose a new concept of a traffic congestion score (TCS) that is computed by using an approximation of the...
This paper describes the design and implementation of a sustainable travel assistance system consisting of a two wheeler mounted portable USB charger named Winger. This uses renewable wind energy to charge any cellular phone. It also introduces a travel analysis system along with a proposed system based on user speed profiling analogous to the concept of collaborative filtering. The focus of this...
This work presents a hardware design that allows us to retrofit legacy controllers and facilitate implementation of distributed traffic signal optimization algorithms. This work is specifically focused on supporting the deployment of self-organized traffic algorithms of traffic control which can leverage the data from connected vehicles to reduce traffic delays. The paper describes the legacy hardware,...
In the presented case study, travel times for passenger cars (PC) and heavy goods vehicles (HGV) were predicted with a data-driven, hybrid approach, using historical traffic data of the entire high-ranking Austrian road network. In case flow data were available, travel time was predicted with a Kernel predictor searching for similar speed-density patterns. In case of missing flow data, travel time...
Static traffic control lights, which are being used to control traffic today, may not be longer acceptable to use since it does not consider the importance of higher priority vehicles like ambulances, which need to be on time to save some patient and police, who may need to respond quickly to some disturbance (murder, riot, etc). This may be solved by using an adaptive traffic control algorithm. The...
Making the traffic more efficient, safer and eco-friendly are important global aims for a sustainable future. To reach these goals electro mobility and V2X-communication are important key technologies. To reduce the emissions the automobile industry presented a quantity of electric car models during the last years. While the range of electric cars with about 150 km is adequate for inner city use,...
Development of in-vehicle computer and sensing technology, along with short-range vehicle-to-vehicle communication has provided technological potential for large-scale deployment of self-driving vehicles. The issue of intersection control for these future self-driving vehicles is one of the emerging research issues. Contrary to some of the previous research approaches, this paper is proposing a paradigm...
This paper describes a technique for counting and classifying vehicles in traffic video surveillance applications. We concentrate on systems requiring rapid deployment built using Wireless Video Sensor Networks. To achieve this, we propose an algorithm that employs a pixel-based Gaussian background modeling technique. The goal is to classify vehicles based on structural analysis of foreground objects...
With the global trend towards urbanization, traffic control becomes an especially important problem. Existing ‘intelligent’ traffic control systems are usually of large scale, requiring high computation resources cost, especially equipped roads and traffic lights, and necessary legislations from governments. In this paper, we propose a framework resolves these issues by utilizing the processing power...
With the development of intelligent traffic management technology, domestic urban transport development are facing the grim situation of traffic congestion, environmental pollution, frequent accidents and huge social consumption and so on, It'll be improved through intelligent traffic management technology of urban traffic coordinated control, comprehensive-testing, dynamic forecasting and traffic...
This paper presents considerations regarding the benefits obtained by implementing traffic control measures on an inter-urban road network. The considerations are based on the results obtained by simulating traffic scenarios on a model road network. These scenarios involve: heavy traffic, over—capacity of the network; medium traffic, under-capacity of the network, but involving an incident. The results...
The vicinity of conurbations usually implies a strong interaction between, urban and interurban road and traffic systems. This results generally in extended congestion during peak periods and underlines the necessity of data exchange between urban and interurban traffic centres for the purpose of coordinated driver information and traffic control strategies. The paper proposes an integrated traffic...
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