Blending the most fundamental Remote-Sensing principles (RS) with the most functional spatial knowledge (GIS) with the objective of the determination of the accident-prone palms and points (case study: Tehran-Hamadan Highway on Saveh Superhighway)

Abstract

Remote sensing makes use of sensing systems with various features. One of the most substantial and dominant of such sensing systems is the imaging and image-processing systems by taking advantage of the pictorial data and geography is regarded as a branch of remote sensing science in the format of aerial imaging within two large scientific disciplines, one is photogrammetry which is intended to generally mean the procurement of mapping systems and the other one is interpretation which is taken to mean the identification and detection of the objects on earth and the surrounding areas. This article which has been extracted from a research plan performed in the Islamic Azad University, Hamadan branch, is considered as an applied research and the researcher has tried to take advantage of the most fundamental principles of the remote sensing knowledge in the realm of geography through deploying the second form of the aerial photographs  uses in which the identification and the detection of the objects on earth and surrounding areas is conducted aiming at the interpretation of the objects and the peripheral surrounding of the object aiming at the identification and the recovery of the study area and through adopting such an attitude in a case study on Hamadan-Tehran highway and based on the information gathered from highway police the researcher has attempted to deal with the investigation of the localities in which road accidents have been according to the extant documented evidences higher and the researcher takes effort to study the area from the perspective of the factors contributing to the accidents, the type and the intensity of the incurred damages within the area of interest and meanwhile classifying the information, the obtained data have been matched and juxtaposed on the aerial photos to determine the safe points and breadths and accident-prone areas and finally the researcher attempts to recover the identified points on the aerial photos according to the information obtained for the technical features of the roads from the related offices and also via conducting field observations of the natural surroundings and the existing signs and in the end the researcher try to come up with applied strategies to reduce the road accidents along the path.

Keywords: remote-sensing, geographical information system, aerial photos, road accidents, road palms