Intelligent Transportation Systems

Intelligent Transportation Systems
复制标题

DOI:
10.1002/9781118580974.ch13
复制
发表时间:
2010-03
影响因子:
8.1
通讯作者:
G. Dimitrakopoulos;Panagiotis Demestichas
G. Dimitrakopoulos;Panagiotis Demestichas
中科院分区:
计算机科学2区
文献类型:
--
作者:
G. Dimitrakopoulos;Panagiotis Demestichas

文献摘要

被引文献

相似文献

日益增长的出行需求带来了交通基础设施的重大变化。效率低下会造成巨大的时间损失、车辆和行人的安全水平下降、高污染、生活质量下降以及不可再生化石能源的巨大浪费。本文的范围是介绍为车辆提供知识的新功能,从而共同管理交通和安全。这将通过设计所提出的功能来实现,该功能在高层次上将包括(1)由某个附近的车辆形成的交换交通相关信息的传感器网络,(2)放置在车辆内部用于推断知识和经验的认知管理功能,以及(3)整个交通基础设施中的认知管理功能。上述三个主要组成部分的目标是向驾驶员和整个交通基础设施发出对上下文处理有价值的指令。
The increasing need for mobility has brought about significant changes in transportation infrastructures. Inefficiencies cause enormous losses of time, decrease in the level of safety for both vehicles and pedestrians, high pollution, degradation of quality of life, and huge waste of nonrenewable fossil energy.The scope of this article is to introduce novel functionality for providing knowledge to vehicles, thus jointly managing traffic and safety. This will be achieved through the design of the proposed functionality, which, at a high level, will comprise (1) sensor networks formed by vehicles of a certain vicinity that exchange traffic-related information, (2) cognitive management functionality placed inside the vehicles for inferring knowledge and experience, and (3) cognitive management functionality in the overall transportation infrastructure. The goal of the aforementioned three main components shall be to issue directives to the drivers and the overall transportation infrastructure valuable in context handling.