U&I Aware: A Framework Using Data Mining and Collision Detection to Increase Awareness for Intersection Users

Abstract

An intersection safety system should adapt to the particular characteristics that identify an intersection, by mining traffic and collision data. Given the large amount of sensor data that are obtained for intersections and from sensor-equipped cars, analysis and learning of such data is essential. This paper presents a new method to improve safety at intersections using a combination of a mathematical based collision detection algorithm and data mining. A number of scenarios at a simulated intersection are explored with encouraging results from our data mining implementation. The results suggest that our approach can help improve situation awareness and automate understanding of intersections, which, in turn, can be used to increase safety at intersections.

Road Intersections as Pervasive Computing Environments: Towards a Multiagent Real-Time Collision Warning System

“…• If TTC <= TTA warning , send Command message We propose the cost model for TTA warning (4), where driver initiates the avoidance, which is as follows:…”

“…Existing intersection collision warning and avoidance systems are still deficient in these areas: incomprehensive data source, element of learning and adaptability, performance and scalability, real-time communication protocol, and relationship between detection and warning. Consequently, we need to have a cooperative intersection collision warning and avoidance system that: incorporates data from vehicle and roadside sensors, is generic and adaptable to various intersections, is able to perform real-time detection and warning no matter how busy an intersection is, has an established real-time communication protocol, is able to send a warning message effectively and efficiently in order to avoid a future immediate collision.We have proposed the U&I Aware Framework [4], as pictured in Figure 1. The U&I Aware Framework consist of three main components: learning, detection, and warning of collisions in an intersection.…”

“…We have proposed the U&I Aware Framework [4], as pictured in Figure 1. The U&I Aware Framework consist of three main components: learning, detection, and warning of collisions in an intersection.…”

Collision Pattern Modeling and Real-Time Collision Detection at Road Intersections

“…Currently, no existing intersection collision warning and avoidance systems can tackle intersection collision problems entirely. Many existing Intersection Collision Warning Systems are still infrastructure-only systems, and are limited in certain aspects, which are as described in [4]. The main issue that is occurring in each system is that it is developed for a particular intersection and cannot be generalised for other types of intersections, and therefore, each application requires a field study on that intersection.…”

“…Therefore, the complex nature of intersection collisions requires systems that warn drivers about possible collisions. In addition, given the uniqueness of each intersection, rather than manually fine-tuning a system for each intersection, an intelligent system for intersection safety should be able to adapt to different types of intersections automatically [4]. Different attributes of intersections such as intersection legs, traffic controls, permissible manoeuvres and turns, can cause a different set of collision patterns.…”