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Navigation systems for drivers tend to vocalize what they want, when they want. Drivers who need to clarify instructions are often required to read directions in text form, which is a safety risk during real-time control. Instead, we investigate how a two-way-audio command interface might work. Data is easily extracted from text directions so that questions can be answered without knowledge of the...
The relevance of decision making in autonomous systems is intrinsically related to the system capacity to discriminate its perception-action states. This is particularly challenging in unknown and changing complex environments, where providing a complete a priori representation to the system is not possible. To illustrate the problem, let us consider a decentralized control of road traffic, where...
The growing number of vehicles on the roads worldwide, lead to increase in the number of road traffic accidents. These are recognized as a major public safety problem. In this context, connected vehicles are considered as the key enabling technology to improve road safety and the emergence of next generation cooperative intelligent transport systems (ITS). In ITS, network services and applications...
Currently artificial intelligence combined with computer vision has helped in performing daily activities, the current tendency of semi-autonomous vehicles assisted by artificial intelligence and computer vision has created a new field of image processing research. The image processing to support autonomous route tracking systems they have been tested in controlled media. In this investigation we...
With the accelerated urbanization and the development of automobile industry, traffic congestion has become serious gradually for many metropolises. Thus, it is an important and extensive method in many countries to use the intelligent transportation systems (ITS) to control traffic and to induce vehicle flows so that road congestion may be mitigated and the traffic may be more efficient. As an important...
It is important to match vehicle GPS points onto a map. Many map-matching algorithms, which use heading, speed and position to complete the map-matching process, are not suitable for the low frequency GPS data. The distance between two adjacent GPS points in the low frequency GPS data can range from 500m to 1000m, and the vehicle can cross several streets. This paper puts forward a modified weight-based...
the increasing number of vehicles nowadays makes it hard to manage traffic flow on the streets, especially when it comes to intersection management. This paper proposes the use of dashboard traffic lights (DTL), an intelligent traffic light system based on client-server communication that will give each vehicle a decision based on the speed and direction of the vehicle. This system can be used for...
This paper presents a hybrid algorithm that combines Fuzzy Logic Controller (FLC) and Genetic Algorithms (GA) and its application on a traffic light system. FLCs have been widely used in many applications in diverse areas, such as control system, pattern recognition, signal processing and forecasting. They are, essentially, ruled-based systems, in which the definition of these rules and fuzzy membership...
This paper proposes a traffic light signal parameters optimization using particle swarm optimization (PSO) for real road network called as Ooe Toroku road network. The main aim of this method is to find out the best traffic light signal parameters, which can solve the traffic congestion on the real road network. The traffic light signal parameters that are optimized are offset, cycles, and splits...
With the continuous development of electronic information technology and growing in the traffic engineering field, Cloud computing technology is widely used in intelligent transportation system has become the inevitable trend. The basis of the city's traffic information service system construction has been initially formed, but generally faced with the integration and using of traffic information...
Cooperative Intelligent Transport Systems (C-ITS) enable the communication between vehicles, roadside infrastructure and traffic control centers. Except of the radio link between the vehicles and between vehicles and roadside infrastructure the system specifications are not finalized now. In this paper the C-ITS concept in context of the European Cooperative ITS corridor is described. The focus is...
Bus Rapid Transit System (BRTS) has emerged as a key solution to urban transportation needs of today's world. Explosive growth in wireless technologies and information technology has lead to the emergence of Intelligent Transportation System (ITS) technology. ITS assisted BRTS is now being perceived globally as a emerging transportation solution and research area. India today is one of the fastest...
Control schemes for motorways and urban roads are often modelled as separate systems. This may be reasonable when there is substantial buffering at on-ramps on motorways. However, in many densely populated areas, the length of these on-ramps can be limited, and traffic may easily propagate into the urban road network. We consider the problem of congestion control on a motorway and its surrounding...
The increasing number of vehicles nowadays makes it hard to manage traffic flow on the streets, especially when it comes to intersection management. This paper proposes the use of dashboard traffic lights (DTL), an intelligent traffic light system based on client-server communication that will use V2I (Vehicle-to- Intersection) network scheme to send request messages from moving vehicles to the intersection...
Concerning the phenomenon that common parking service could not satisfy the increasing demand of the private vehicle owners, an intelligent parking guidance system based on Zig Bee network and geomagnetic sensors was designed. Real-time vehicle position and related traffic information were collected by geomagnetic sensors around parking lots and updated to center server via Zig Bee network. On the...
In this paper, an application based on the Intelligent Speed Adaptation (ISA) system is proposed to reduce CO2 emissions of vehicles running on the highway. We apply the idea of optimised consensus to solve the emission optimisation problem in a simplified highway scenario through simulation study. Our approach shows that total CO2 emissions of vehicles can be minimised if all vehicles follow the...
A new method for vehicle classification is presented. An axle parameter estimation gives advanced results for the distances between axles as well as transferred energy of vibrations. Measured road vibrations are analyzed and the phenomena are studied. Algorithms for vehicle classification based on the findings are described and their performance, advantages and disadvantages are evaluated and discussed...
In order to effectively determine whether a vehicle is turning or not, we proposed a method to map arbitrary consecutive GPS heading information to 2 dimensional feature space. Then we applied K-means clustering algorithm to divide the feature space into 2 classes: going straight and turning. After that, we used supervised learning algorithm to analyze these labeled data and build a model to recognize...
Which path was the optimal path in a large parking guidance system? Obviously, only considering the shortest distance is not enough, only considering the shortest time is an ideal goal but not easy to realize, so introduced a feasible time-optimal evaluation in parking path planning. It can not only simplify hardware design of the guidance system, but also reduce the software cost. Mathematical model...
This paper presents a monocular vision-based range estimation of on-road vehicles approach. The proposed approach mainly combines non-drivable region from drivable region detection for detection region estimation instead of detecting the whole image, shadow detection for on-road object extraction, vehicle structure points estimation and adjusting for on-road vehicle classification, and motion vector...
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