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Estimation of the energy consumption rate for electric vehicles (EVs) plays a critical role in a variety of EV eco-driving applications and systems. As a result, quite a few studies have been dedicated to the development of estimation models. To improve the predictive and real-time performance of EV energy consumption rate estimation for eco-driving applications, we proposed herein a hybrid modeling...
Driver feedback systems have the potential to improve driving safety and efficiency by providing instructions to drivers aimed at improving their driving style. There is already a rich body of available literature devoted to the derivation of energy efficient speed profiles to develop driver feedback or eco-driving systems. While most of them can be applied to any type of vehicle, their effectiveness...
Portable devices such as tablets or smartphones are important entertainment and working tools, that will become more useful once Conditional Automation (CA) is available. Performing tasks with personal devices provides comfort and helps counter passive fatigue, but its usage can compromise safety in Take Over Request (TOR) scenarios.
Automated ground vehicles are becoming a reality for future deployment due to their potential improvement of safety, comfort or emission reductions. However, some challenges remain unsolved such as navigation in dynamic urban environments, where safety and comfort are paramount. In this paper, a novel speed profile generator, based on quintic Bézier curves, is presented. This approach permits to improve...
Field Operational Tests (FOT) or Naturalistic Driving Studies (NDS) is necessary to evaluate advanced driver assistance system (ADAS) as well as the naturalistic driver behavior. Due to incidents (related to crash events) may lead to collision accidents, it is necessary to do the related studies on incidents to improve traffic safety. In these studies a large volume of data was collected and a lot...
This paper develops a method for a safe and autonomous intersection crossing. A centralized system controls autonomous vehicles within a certain surrounding of the intersection and generates optimized trajectories for all vehicles in the area. A recently proposed design approach, [10], where this problem is expressed as a convex optimization problem using space sampling instead of time sampling, is...
On consideration of analyzing the relation between drivers' decisions when the vehicle-cross process happens in a non-signalized intersection, a cooperative driving model is proposed based on reduplicate dynamic game. Considering some driving characteristics in our daily life, a profit function is established with safety, rapidity and comfort indicators in vehicle-cross process. Then, the multiple...
This article presents a path planning concept for automated driving. It builds upon existing approaches using quintic polynomials for path planning in structured environments. The contribution of this work are analytical solutions to evaluate selected properties of quintic polynomial based paths such as maximum acceleration and jerk or overshooting behavior. In addition, a concept for generating asymmetrical...
In many traffic situations there are times where interaction with other drivers is necessary and unavoidable in order to safely progress towards an intended destination. This is especially true for merge manoeuvres into dense traffic, where drivers sometimes must be somewhat aggressive and show the intention of merging in order to interact with the other driver and make the driver open the gap needed...
A frequently raised argument against safely-driving automated vehicles is that they would not harmonize well with traffic flow—unrealistically large headways would invite other traffic participants to cut in and thus put passengers of following automated vehicles at risk. In order to test this hypothesis, we use real data of thousands of vehicles recorded in the United States as part of the Next Generation...
Delay in providing Emergency Medical Services (EMS) is the cause of the high mortality rate in road traffic accidents in countries like India. There is delay involved in each and every stage of the process, right from reporting an accident to dispatching an ambulance, till the patient is safely handed over to the casualty. Minimizing this delay can help save lives. We propose a comprehensive solution...
In the last years there has been a rising interest in monitoring driver behaviors by using smartphones, due to their increasing market penetration. Inertial sensors embedded in these devices are key to carry out this task. Most of the state-of-the-art apps use fix thresholds to detect driving events from the inertial sensors. However, sensors output values can differ depending on many parameters....
In-vehicle smartphones contain rich information of driving and therefore can be utilized to establish driver behavior profile. The GPS data indicates the occurrence of driving events like gas-hit, brake-hit, turn-right, turn-left, and forward-driving. The inertial measurement unit (IMU) data, provides good estimations of vehicle lateral, longitudinal, and vertical accelerations and rotations. One...
For road operators, road surface condition monitoring is a costly but necessary task. Usually, road operators have to conduct time-consuming and therefore costly inspection drives with specialized sensor vehicles gathering high precision measurements. This raises the question whether vehicle-data collected during daily routine drives could replace or at least supplement inspection drives. In this...
A novel eco-routing navigation strategy and energy consumption modeling approach for electric vehicles are presented in this work. Speed fluctuations and road network infrastructure have a large impact on vehicular energy consumption. Neglecting these effects may lead to large errors in eco-routing navigation, which could trivially select the route with the lowest average speed. We propose an energy...
This paper presents a smartphone based dangerous driving behavior detection method. This method is meaningful in applying in driver risk behavior monitoring system, vehicle safe driving system or Usage Based Insurance (UBI). A novel yaw angle detection algorithm is proposed only based on the measurements of low accuracy accelerometers and gyroscopes without any requirements of smartphone placement...
One of the most exciting applications of V2X technologies, that is envisioned, is the platooning of a series of autonomous vehicles led by a manually driven vehicle. However, the realization of this application depends entirely on the efficacy of a platoon control algorithm and the communication channel amongst the platoon members. There are many different control algorithms that are being considered...
This paper presents a novel vehicle platoon control algorithm using Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) wireless communications between platoon members. A platoon forms a chain of vehicles (e.g., trucks) for improved traffic and fuel efficiency. Platooning algorithms aim to maintain small inter-vehicular distance between vehicles under dynamic driving conditions like acceleration...
In this paper, we present a new speed advisory system (SAS). The system provides indications to drivers which, if followed, guide the network of vehicles towards a common speed. The SAS we present is distributed and one of its key features is that the vehicles are guided towards the common speed by receiving obfuscated information. Essentially, this means that the desired network behaviour is achieved...
A good level of situation awareness is critical for vehicle lane change decision making. In this paper, a Data-Driven Situation Awareness (DDSA) algorithm is proposed for vehicle environment perception and projection using machine learning algorithms in conjunction with the concept of multiple models. Firstly, unsupervised learning (i.e., Fuzzy C-Mean Clustering (FCM)) is drawn to categorize the drivers'...
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