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This study describes a method for using a camera to automatically recognize the speed limits on speed-limit signs. This method consists of the following three processes: first (1) a method of detecting the speed-limit signs with a machine learning method utilizing the local binary pattern (LBP) feature quantities as information helpful for identification, then (2) an image processing method using...
Electroencephalogram (EEG) is a widely used experimental tool in psychological research. In this study, we used EEG to research the driving safety by measuring the dynamic changes of drivers' emotions in a long tunnel. Through the study whether there was a tunnel, and whether there was a large amount of traffic flow in the tunnel, we found a long tunnel only makes a slight negative effect on driver's...
In this study, a safe driving system is developed to reduce traffic accidents that cause social losses considerably. The ability of the driver is reduced to perceive environmental incidents during high speed driving. Speeding warnings over mobile applications which creating with comparing the speed of the vehicle with the speed limits of the roads and calculating the maximum speed before sharp bends...
The interaction between a human driver and an automated driving system may improve when the automation is designed in such a way that it behaves in a human-like manner. This paper introduces a human-like steering model, in which the driver adapts to the risk due to uncertainty in the environment. Current steering models take a risk-neutral approach, while the fields of economics and sensorimotor control...
Conventional traffic light control systems are based on fixed time intervals of the traffic lights. These conventional fixed traffic light controllers have limitations and are less efficient because they use a hardware, which functions according to the program that lacks the flexibility of modification and adaptation on a real time basis. Thus due to the fixed time intervals of green and red signals...
In this paper we propose a vehicular speed learning framework that recommends best traffic load based on a particularly required latency and throughput conditions to be achieved. The framework is composed of two main layers, the base layer and two enhancement layers. The base layer aims at providing an in-vehicle wireless receiver to inform the driver about the speed limit within the area he/she is...
The basis of this study is to create an insight for target vehicle path following or improving situational awareness by using path accumulation and ego-motion compensation. Possible application variants of the strategy, for highways and urban roads are also described. The study is also extended for enhancing path accumulation in noisy environment or sensing by making use of spline based curve approximation...
Highly automated driving tremendously reduces workload of drivers. However, the drivers may lose their visual attention to road ahead due to the out-of-the-loop problem. Haptic guidance has been developed to reduce drivers' workload while keeping the drivers in the control loop. The haptic guidance system continuously provides assistant torques on the steering wheel so that both the driver and the...
This paper describes the design of a new haptic shared steering control framework for automated driving systems. In this framework, the shared control problem is formulated as a constrained optimization problem which is solved online by a model predictive controller. Without driver's intervention, the system assumes automatic lane-keeping control. When the driver takes over control, by adapting the...
Conditionally automated driving systems may soon be available on the market. Even though these systems exempt drivers from the driving task for extended periods of time, drivers are expected to take back control when the automation issues a so-called take-over request. This study investigated the interaction between take-over request modality and type of non-driving task, regarding the driver's reaction...
Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADAS) are being vigorously developed for improving traffic safety and transportation efficiency. AD and ADAS need to provide smooth and comfortable driving experiences to drivers and passengers as well as accommodation of other traffic. Individual drivers have different driving styles. This paper proposes a driver-adapted narrow road...
At night, accidents are more severe and involve vulnerable people, older people with disabilities, and mothers with children. Increasing the level of illumination in the pedestrian crossing area by optimally dimensioning the associated lighting system leads to the driver being alerted to the presence of a risk area and adapting the speed of movement to avoid any danger. The projected pedestrian lighting...
A novel method for evaluating driver distraction and situation awareness while performing a secondary task using a fuzzy set theory is proposed in this paper. A fuzzy inference engine realization process based on simple matrix operations is described in detail. The drivers' performance is evaluated referring to the vehicle behavior, in particular, the abilities to keep the vehicle in the center of...
High volumes of pedestrians, cyclists and other vulnerable road users (VRUs) have much higher casualty rates per mile; not surprising given their lack of protection from an accident. In order to alleviate the problem, sensing capabilities of smartphones can be used to detect, warn and safeguard these road users. In this research we propose an infrastructure-less fog-based architecture named PV-Alert...
Recent research on eco-driving has paid more attention on human driving behavior and vehicle performance, but neglects the impacts imposed by dynamic, discrete and distributive traffic, which may result in partial and limited eco-driving suggestions. This paper presents a multi-factor integration based eco-driving optimization method for vehicles with same driving characteristics. It constructs driving...
Today, driver assistance systems and autonomous vehicles are actively developed and verified in real-world test scenarios. These real-world tests are neither cheap nor sufficient to ensure a reasonably low enough risk of failure. In order to enable efficient and methodical system tests, we propose the use of Virtual Testbeds (VTBs) as a software environment in which "Digital Twins" of real...
The aim of this study is to design safe driving system which is constantly being worked on every year in the world to reduce traffic accidents that cause economic and social loss in very large sizes. The developed safe driving system works on mobile phones that are not part of other secure driving systems. By this way, regardless of the technological equipment of the vehicle, old or new all means...
This paper proposes a lane estimation algorithm on roads where lanes are not visible due to fading or bad weather conditions. The proposed algorithm is conducted by utilizing the road width and remained lines on roads. The results indicate that the proposed algorithm can estimate lanes in heavy rains and nights.
This paper deals with the problem of reducing fuel consumption and pollutant emissions of Heavy Duty Vehicles (HDV). The overall objective of improving the efficiency of the HDV can be obtained by employing the most advanced technologies in powertrain control and intelligent transportation systems, by taking into account road topography, traffic, weather conditions and driver behavior. This paper...
Sensing and computing capabilities of modern traffic intersections have greatly improved in recent years, but current control policies do not fully utilize these capabilities. In this paper, we present a novel intersection control algorithm based on an objective function that accounts for drivers' time preferences. In particular, the intersection places greater importance on a vehicle which has been...
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