NeTS-WN: An Architecture for the Notification of Traffic Incidents and Congestion (NOTICE)

由于交通事故造成的高速公路拥堵造成了数十亿美元的生产力损失和数十亿加仑的燃料浪费。有了交通拥堵的提前通知，司机可以做出明智的选择，从而节省时间和燃料。 最近，已经为此目的提出了使用采用车辆到车辆（V2V）通信的车辆自组织网络（VANELL）的系统。不幸的是，仅仅依靠V2V通信会产生不希望的副作用，即引入错误警报和误导性消息。该项目以一种安全和隐私保护的方式解决VANESTO中传播交通相关信息的问题。 该项目的目标是开发和评估交通事故和拥堵通知（通知）的体系结构。 “通知”由以固定间隔嵌入道路中的传感器带组成。 通过传送带的车辆将直接向传送带提供有关其行程的信息。 安全带储存的集体信息将用于对交通事故的发生进行智能推断。NOTICE将在车辆和安全带之间提供安全和隐私保护的通信，有效地将事件信息传播给车辆，并在没有驾驶员干预的情况下推断交通拥堵的存在。 该项目的更广泛的影响包括为可部署的事件通知系统提供基础，以及开发车辆网络，传感器网络，安全以及嵌入式和分布式系统的新课程。

Highway congestion due to traffic incidents costs billions of dollars in lost productivity and billions of gallons in wasted fuel. With advance notification of traffic congestion, drivers could make educated decisions about taking alternate routes, thus saving time and fuel. Recently, systems using vehicular ad-hoc networks (VANETs) that employ vehicle-to-vehicle (V2V) communications have been proposed for this purpose. Unfortunately, relying solely on V2V communications has the undesired side effect of inviting the introduction of false alerts and misleading messages.This project takes a novel look at solving the problem of propagating traffic-related information in VANETs in a secure and privacy-preserving manner. The goal of this project is to develop and evaluate an architecture for the Notification of Traffic Incidents and Congestion (NOTICE). NOTICE consists of sensor belts embedded in the roadway at regular intervals. Vehicles passing over a belt will provide information about their travel directly to the belt. The collective information stored by the belts will be used to make intelligent inferences about the occurrence of traffic incidents. NOTICE will provide secure and privacy-preserving communications between vehicles and the belts, efficiently propagate incident information to vehicles, and infer the presence of traffic congestion without driver intervention.The results of this research will be disseminated through journal and conference publications. The broader impacts of this project include providing a basis for a deployable incident notification system and the development of new courses in vehicular networks, sensor networks, security, and embedded and distributed systems.