「道路」是聯絡地方間主要之通道，也是最重要的國家基礎建設，更是民眾接觸最為頻繁公共設施之一。為能有效的維持道路品質，相關單位必須針對各項道路績效指標進行追蹤與評查，藉由量化的數據比對，評鑑道路之品質與效能，以維持道路之基本服務功能並延長其使用年限。 然而，面對龐大的路網資訊，唯有透過道路檢測車之自動化檢測，方能快速並完整的建置；檢測車運用於道路檢測作業不但可減少檢測時間與人力資源之浪費，且能有效提高鋪面檢測效率，故各國皆投入相關之研發工作，希冀藉由檢測車取代傳統以人力進行之鋪面檢測作業；有鑑於此，開發道路檢測車，並使該車能達到預期之鋪面檢測能力，以配合目前之鋪面維護管理系統之所需，實為當前道路維護管理之重大挑戰。 本研究之目的主要為開發一套道路檢測車之檢測系統，透過模組化設計之流程，將檢測車之檢測系統拆解成不同的功能模組，並選定各功能模組之檢測設備，進行複合檢測模組之整合開發；開發後之複合檢測模組具備鋪面平坦度與鋪面表面狀況之檢測能力，如推廣運用於實際道路檢測作業，將可更迅速、更準確地進行多功能路網檢測，並提供道路管理單位即時的掌握路面資訊，促使路網管理更趨完善。 "Road" is the major channel to connect places, the most important national infrastructure, and one of the most frequently contacted public facilities. In order to effectively maintain the road quality, the authority of road management must trace and investigate the pavement performance index, by comparing quantitative data, evaluating the quality and effectiveness of road, the pavement’s essential function is maintained and its service span is extended. With such enormous road network, intelligent pavement survey vehicles are needed to quickly and completely build up. Necessary information pavement survey vehicles used in detecting procedures not only reduce the detecting time and avoid a waste of human resources, but also improve the detection efficiency. In order to use pavement survey vehicle to replace conventional human testing procedures, many countries are interested in investing in its research and development. The purpose of this study is to develop a pavement detecting system for the intelligent pavement survey vehicle. Through the modular design, the detective system of detect vehicle is dismantled into different functional modules, and detective equipment of functional module is selected to integrate composite testing module. The composite detective module we have developed can be used to detect the pavement roughness and pavement conditions. It will make the multi-function detection of road network more rapidly and more accurately. It can also provide authority of road management real-time road pavement information, and thus improves road network management.
