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Emergency maneuvering systems can take control of a vehicle in high-risk situations caused by distracted, fatigued, or careless drivers, which can reduce the frequency and severity of collisions. But in order to override the user's control the vehicle must reason with uncertain information: sensing provides noisy and partial input, vehicle dynamics models are never perfectly calibrated, and other...
In this paper, we present a simulation-based investigation of the potential benefit of route-guidance information in the context of risk-sensitive travelers. We set up a simple two-route scenario where travelers are repeatedly faced with risky route-choice decisions. The risk averseness of the travelers is implicitly controlled through a generic utility function. We vary both the travelers' sensitivity...
Based on the NS Model, a mixed traffic flow on single lane is simulated in the paper, which includes two-classification vehicles owing the different max-velocity, and a chaos recognition algorithm based on composite feature is advanced. How the traffic flow is changed for different density and different discrete degree and which channel is the right way to chaos is researched. And the influence of...
This paper proposes a novel method for a dynamic ridesharing mechanism using the combination of several modern information and communication technologies. The increased personal usage of automobiles has caused several undesirable consequences. Waste of time, fuel and effort due to traffic congestion and scarcity of parking areas are the most obvious. Ride-sharing for routine travelling has been an...
In this paper, we deal with an original advanced driver assistance system (ADAS) based on the use of omnidirectional vision and an evidential fusion architecture. The panoramic perception solution permits us to address efficiently the problem of close vehicles detection but also the monitoring side traffic system. The fusion and integration of this sensorial data stream is assumed by a credibilist...
Vehicle shift quality evaluation is the basis of integrated control for shift quality. To overcome the shortcomings of traditional subjective evaluation method for vehicle shift quality, a new approach to shift quality subjective evaluation based on fuzzy logic and evidence theory is proposed in this paper. People's feeling is adopted as instrumentation in the proposed method. The results of subjective...
Based on the NS Model, a mixed traffic flow on single lane is simulated in the paper, which includes two-classification vehicles owing the different max-velocity. How the traffic flow is changed for different density and different discrete degree is researched and the influence of the density of traffic flow and the discrete of following-velocity on the chaos of traffic flow is analyzed in different...
Each year traffic in Europe claims more than 40,000 fatalities, of which one third are due to inappropriate speed. This makes increasing traffic safety and reducing speeding important policy objectives for public policymakers. A possible measure to help achieve these objectives is implementing Intelligent Speed Adaptation (ISA), an in-vehicle device that assists a driver in maintaining the appropriate...
This study proposes architecture for integrating intelligent control systems into vehicles, with special consideration to include the human-driver in the control loop. As a case study of the proposed architecture, drowsiness monitoring system is combined with an adaptive and robust lateral controller. Drowsiness is considered to be related to the uncertainty in steering wheel commands for the vehicle...
The principal objective of this research is to study the feasibility of a real-time, rule-based guidance system for an automobile on a limited-access highway. The inputs to the system are parameters describing the traffic situation, road geometry, vehicle state, and a driver selected goal. The output of the system consists of guidance parameters that command control logic governing the throttle, steering...
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