Collision avoidance system

About: Collision avoidance system is a research topic. Over the lifetime, 1788 publications have been published within this topic receiving 23667 citations.

Collision Avoidance system in vehicular adhoc network utilizing dichotomized headway model

Abstract: In vehicular adhoc network (VANET), the collision Avoidance (CA) system is an emerging technology among scholars and vehicular industries in recent years. The wireless CA system is transfer emergency message to drivers before they reach accident zone on the highway. Use dichotomized headway model, the braking model, and greenberg's logarithmic model to make vehicular mobility traces. In this paper proposed an analytical model for warning message through Collision Avoidance system. The main concern is using minimum Roadside Units (RSUs) reduce the delay while transfering the warning message from one vehicle to another vehicle. Greenberg's logarithmic model presented vehicular mobility traces and vehicle speed density. CA system transfer periodic messages to driver frequently and our model useful for future Intelligent Transportation System (ITS).

Collision avoidance system and a method thereof

Abstract: The present invention disclosed a collision avoidance system and a method thereof. The collision avoidance system is mounted onboard a host vehicle participating in a data link communication network. The system comprising: an Inertial Navigation System (INS) providing inertial motion information; a Global Positioning System (GPS) receiver providing position information and time synchronization; a data link radio for receiving data indicative of state information of at least one participant vehicle; a central processing unit configured for receiving the inertial motion information from the INS, the position information and time synchronization from the GPS and the data indicative of state information of the participant from the data link radio, and for producing a collision avoidance data regarding the host and at least one participant; at least one display unit for presenting said collision avoidance data, wherein the central processing unit is further configured, in the case that state information in respect of said participant is not received, for providing approximated data indicative of state information of the participant based on previously received data indicative of state information of the participant; and for a duration that do not exceeds a predetermined value, using the approximated data for generating collision avoidance data regarding the host and the participant.

Determination of the Alert and Warning Timing for the Cooperative Intersection Collision Avoidance System - Stop Sign Assist Using Macroscopic and Microscopic Data: CICAS-SSA Report #1

Abstract: Crashes at rural thru-stop intersections arise primarily from a driver attempting to cross or enter the mainline traffic stream after failing to recognize an unsafe gap condition. Because the primary cause of these crashes is not failure to stop, but failure to recognize an unsafe condition, the US DOT FHWA, Mn/DOT, and the University of Minnesota ITS Institute undertook the Cooperative Intersection Collision Avoidance System – Stop Sign Assist (CICAS-SSA) program. CICAS-SSA uses roadside radar sensors, a computer processor and algorithms to determine unsafe conditions, and an active LED icon based sign to provide timely alerts and warnings which are designed to reduce the frequency of crashes at rural expressway intersections. The focus of this report is the alert and warning timing used to provide a driver with assistance in recognizing and taking appropriate action when presented a gap which could be considered unsafe. The work presented herein uses both macroscopic data collected by roadside sensors and data acquisition equipment in Minnesota, Wisconsin, and North Carolina, and microscopic data collected using an instrumented vehicle and test subjects at the Minnesota Research Intersection, located at the intersection of US Hwy 52 and Goodhue County Road 9. Three tenets that are particularly germane to the determination of alert and warning timing for the CICAS-SSA system are: (1) the system does not help a driver choose a safe gap; it is designed to assist a driver with unsafe gap rejection, (2) it indicates when it is unsafe to proceed, not when it is safe to proceed, and (3) it must complement good decision making, and address those instances where poor decision making could lead to a crash.

Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming

Abstract: Safely integrating unmanned aerial vehicles into civil airspace is contingent upon development of a trustworthy collision avoidance system. This paper proposes an approach whereby a parameterized resolution logic that is considered trusted for a given range of its parameters is adaptively tuned online. Specifically, to address the potential conservatism of the resolution logic with static parameters, we present a dynamic programming approach for adapting the parameters dynamically based on the encounter state. We compute the adaptation policy offline using a simulation-based approximate dynamic programming method that accommodates the high dimensionality of the problem. Numerical experiments show that this approach improves safety and operational performance compared to the baseline resolution logic, while retaining trustworthiness.