基于Ad Hoc网络的智能交通模型研究

目前，我国多数大中型城市的交通拥堵问题都很严重．若能够合理的分配道路资源、动态获得拥堵路段和准拥堵路段的交通信息，辅助司机做出正确判断，避开车流拥堵的储段，可以从根本上做到缓解整个交通拥堵的目的．本文所讨论的就是建立一个AdHoe网为基础的智能交通模型，车辆可以实时从AdHoe网当中获得交通信息，提前感知到交通拥堵将出现在哪条街道上，并做出合理判断和选择．

Research Of A Intelligent Transport Model Based on Ad Hoc Network

On present, our most large and medium - size cities were in very serious trouble of traffic jams. If we can distribute the road resource reasonably, gathering the traffic information of congestion roads and the quasi - congestion road dynamically, that can assist the drivers to make the right judgments. Thus the drivers can avoid the congestion roads and achieve the purpose of ease the traffic congestion fundamentally. What be discussed in this paper is to establish an intelligent model of traffic based on Ad Hoc network. Vehicles can obtained the road information in the Ad Hoc network timely and make right judgment and decisions.