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This paper presents an approach to lane assignment for highway vehicles that increases traffic throughput while ensuring they exit successfully at their destinations. Most of current traffic management systems do not consider lane organization of vehicles and only regulate traffic flows by controlling traffic signals or ramp meters. However, traffic throughput and efficient use of highways can be...
This paper discusses the assessment of the effects of integrated full-range speed assistance (IRSA), using the ITS modeller. The aim of IRSA is to assist drivers in their longitudinal driving task by providing speed advice or speed warnings and cruise control-like functionalities. The effects of the application of IRSA in three scenarios (approaching a traffic jam, approaching a reduced speed limit...
Many risky manoeuvres on roads integrate a lane change action. The synchronization of the involved cars is very important in such manoeuvres. The new generation of ADAS systems based on cooperation between vehicles can offer serious perspectives to such manoeuvres. The inter-vehicle cooperation is made possible thanks to the revolution in the wireless mobile ad hoc network. In this paper we analyze...
The electrical circuits and their Electronic Control Units (ECUs) in buses and coaches are essential for their good working. Drive, braking, suspension, door opening, security and communication devices must be integrated in a reliable and real time information system. The industrial communication networks or fieldbuses are a good solution to implement networked control systems for the onboard electronics...
This paper presents a multilevel approach for detecting traffic incidents causing congestion on major roads. It incorporates algorithms to detect unusual traffic patterns and vehicle behaviours on different road segments by utilising the real-time GPS data obtained from vehicles. The incident detection process involves two phases: (1) Identifies of road segments where abnormal traffic pattern is observed...
In this work, A new method is developed to estimate the unknown inputs of heavy vehicle. These inputs represent road profile which is very interesting since is used to estimate the vertical forces acting on the wheels. We reconstruct these unknown inputs by using higher order sliding mode observer. First, we estimate speeds and accelerations of heavy vehicle in finite time.
We consider the autonomous driving of real vehicles as a challenging framework where Robotics-oriented approach might be effective in solve complex tasks. Here we discuss some of the autonomous navigation features in order to set up an environment to develop neural control systems for automotive autonomous driving. In this work we introduce the Evolutionary Robotics as a framework for automatically...
Aquaculture systems need to provide artificial monitoring and control functions to maintain essential environmental factors within the high productivity ranges. This paper suggests that autonomous underwater vehicles (AUV) equipped with various sensors, communication devices, and navigational intelligence can perform effective and broad-range monitoring missions of cage-based aquaculture system surroundings...
Inter-vehicle communication (IVC) protocols have been studied to provide safe and comfortable driving. Each vehicle using the IVC protocols periodically broadcasts its current information (location, moving direction, speed, etc.), and other vehicles must receive such information exactly and in time. Other vehicles use received information to alert, advise, and navigate drivers, helping them become...
The implementation of traffic guidance system requires the contribution of effective and reliable data communication mode to utilize real-time traffic information. However, current static traffic route guidance system can not obtain and update real-time traffic information. The traffic condition data collected by probe cars are transmitted to traffic guidance information centre, accordingly up-to-date...
For advanced driver assistance systems (ADASs) knowledge of the environment plays a fundamental role. This also includes real-time data distribution and information about the current driving situation. A flexible situation model and a uniform situation analysis method are proposed to enable situation dependent information distribution, interpretation and fusion. This is a novel approach in the scope...
This paper explains a fast overtaking algorithm for IVHS based on clothoidal trajectories. In spite of the fact that clothoidal trajectory generation requires complicated computation of Fresnel integrals, in this paper, an on-line clothoidal path is obtained just by scaling a general parametric curve. This is based on a general offline approximation of the Fresnel integrals into rational Bezier curves...
The paper describes a method to compute the minimal-time trajectory for an autonomous vehicle driving at the force contact limit. It is proven that the optimal trajectory consists piecewise of logarithmic spirals and not of cothoids as is often thought. Simulation results are given for the interesting special case of a needle turn. These results are compared to normal polynomial interpolation.
While shifting lane on the road, the presence of a car in the blindspot can cause many accidents, since the driver does not always turn his head. Therefore, a blindspot car detection is likely to become an essential part of modern vehicles. We developed a program that detects cars in the particular configuration of blindspot using video data taken from the left or right mirror of a car, using on the...
Communications solution represents one of the key parts of the intelligent transport system (ITS). Methodology of the communication system identification and configuration was studied within projects CaMNA1 and SRAUTVU2. Goal of CaMNA project is to improve airport over-ground traffic efficiency and security for all moving aircrafts as well as service vehicles. Requirements on the communications environment...
This paper embraces the problem of controlling backward movements of multi-trailer systems (in present case trucks with three and four trailers) by the means of fuzzy logic. It is shown that decomposition of the problem is a great help when finding the solution, however, as the number of trailers increases, it becomes increasingly complex to find a satisfying solution as the control object itself...
With the rise of many-core, parallelization is expected to be the mainstream to speedup the computation. This paper presents the study of classic vision based algorithms applied to vehicle recognition in DAS domain from the point of view of building a practicable real-time system. The workloads of the algorithm is illustrated and analyzed. After summarized the difficulties prevent current algorithm...
Tracking control of mobile robots has many research interests among academic researchers [1],[6],[7]. This subject has opened many different aspects of research studies for different purposes such as obstacle avoidance, trajectory tracking, vision based tracking, etc. The results are being used in different autonomous vehicles from autopilot systems to little discovery mobile robots. In this paper...
In many traffic sign recognition systems, one of the main tasks is the classification of the shape of the blob, which is intended to simplify the recognition process. In this paper, we have developed a new shape classification algorithm based on Support Vector Machines classifiers and the FFT of the signature of the blob. The FFT of the signature yields invariance to object scalings and rotations...
This paper presents a novel automatic and dynamic camera calibration algorithm based on traffic visual surveillance. The algorithm can automatically calibrate the intrinsic and extrinsic parameters of camera, and offer enough guarantee to extract traffic real-time parameters. This paper firstly indicates the significance of applying automatic and dynamic calibration algorithm to intelligent transportation...
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