||Roughness is a vestige lengthways the section rises and falls of fluctuation quantity of the road surface, which influence the quality of the road to drive very much. The road of the roughness faces to drive the comfort quickly can raise the road service quality. Therefore, people who use the road will not feel well if there is high and low to rise and fall the serious road to make the vehicle produced the continuous vibration. Furthermore, because of need to insure the transportation security and reduce the drive speed, it not only makes the service level and efficiency of the road reduced consumedly, but also cause the vehicle excessiveness of vibrate, the fuel consumes and reduce the vehicle service life consumedly which because the road faces not roughness.|
In part of apparatus to examine, the 3m straight and Hi-Lo Detector are not only waste a lot of time but also strenuous effort. It’s also not suitable in network level by using standard deviation of roughness. Although introduce an examination instrument in recent years, still belong to very few parts of units to own, and purchased the cost high in the early years. Therefore, compare to the promotion at the home advanced of the instrument examines and internationalizes the index sign the usage up is really difficult problem.
So this study tries to develop the intelligent vehicle for pavement survey by oneself. It can improve the problem which existed in the apparatus of survey roughness. Even carry on a series of identification procedures to this system, among them include identifications such as identification and the international roughness index sign stability etc. of various instruments of this system. The above procedure all consults the foreign related standard to take into the identification. By the above identification procedure, in addition to canning increase the credibility of this examination system, also can improve the not easily seen problem of an examination instrument results. All intelligent vehicles for pavement survey by oneself are not passing the accredited of Chinese National Laboratory Accreditation (CNLA). Although there is keep doing the related identification procedure, it still in the research development stage. So this research hopes to first step draws up the CNLA certification procedure relevant document and operates the manual...etc. to identify the procedure by many items, matching the foreign related standard. Looking forward to make the intelligent vehicle for pavement survey which developed by oneself can pass the certification permission.
This research with originally intelligent spread to face to examine the car to collect Taoyuan County inshore ll country a data, after taking in to statisticsed the analysis, and inquire into the not flat reason of causing the road.And combine the Videologging system of the Institute of Transportation development. Take into the collections in the lieutenant general all image datas with basic roads of the examination process. With continues image perhaps by the photograph, can use the stranger or two usage situation in the side landses of the related position and road of the entire content, various facilities that protect the unit to the road's segment. Didn't need to the scene, can carry on the first step the inspection the road to follow the line condition.
This research collects the protect data of country way of three years in Taoyuan County. And The covariance protects the area size、Protecting the summary calculates the budget、protect the way and protect to maintain cost etc. Combining an examination data carries on the country way to protect the threshold value, The result is 6.65 m/km. Apply above all data in spread to face in the pavement management system. Expect to have to promote to inshore road quality in Taoyuan County, all use the stranger and all can have to go the car environment sooner and soon and more comfortablely.
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