| With the development of economic and continuous construction of freeway, the impactcaused by the freeway accident is also growing, which has become the key point of freewayoperation and management. The researchers have studied a lot in accident causes, preventionand emergency response. As one of the most important factors in traffic accidents, the fatiguedriving has been learned a lot in its cause, detection and affection.The detect methods of fatigue driving used now are based on driver’s physiologiccharacteristic, and the device used in these methods is unique and independent to theinformation collection system in freeway. These methods is lack of macro analysis and isdifficulty in management of freeway and isn’t able to use massive toll data which alreadyhave. This paper based on freeway information collection and management system which usenow and make a detailed analysis of toll data. Then find the relationship between toll data andfatigue driving. After that, find out the distribution characteristic of fatigue driving behaviorby data processing method. And finally get the distribution of fatigue driving on freewaynetwork(include single vehicle, road sections and travel route). Besides, this paper alsoanalysis the relationship between fatigue characteristic and traffic accident, and find out itscorrelation is high.Moreover, this paper puts the toll data processing method and toll system together byconsidering the usage of data analysis method and the steps of data collection, transportationand process. It is recognized as an analysis system of regional network fatigue distribution. |