Browsing by Author "Taneerananon, Pichai"

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    The evolution of criteria for identifying black spots and recommendations for developing countries
    Nguyen, Huy Huu; Taneerananon, Pichai; Koren, Csaba; Luathep, Paramet
    The general purpose of black spot identification is to identify high accident frequency locations on a road network to improve road safety. The next task is to sift through these locations to select the particular locations based on whose analysis the safety treatment is established. Thus, black spot treatment is a two-stage process: identification and safety analysis, with the former producing the enriched data for the detailed analysis done in the latter. Such analysis is to determine the true black spots, the safety aspects to improve, the cost of treatment, and the extent of the efficiency. Accordingly, the object of identification stage is to select sites that have a good chance of being in need of remedial action and also capable of being cost-effectively improved. This paper reviews the evolution of criteria for black spot identification in terms of scope and aspects. On the basis of this review, a number of suggestions are made for the cases of developing countries in terms of black spot identification aspects.
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    Prediction of unconfined compressive strength of old asphalt concrete using multiple regression
    Jaritngam, Saravut; Somchainuek, Opas; Chantruthai, Piti; Ratanavaraha, Vatanavongs; Taneerananon, Pichai
    The recycle of old asphaltic concrete material (OAC) with cement additive is a relatively new pavement improvement method in road geotechnical engineering in Thailand. This paper describes the test results of recycled old asphaltic concrete mixed with various amounts of cement additive (OACC) at different durations of curing time, compared to the OAC without any additive. The test results show that the strength of OACC increases with the increase in amount of cement additive. A multiple regression model was developed for predicting the unconfined compressive strength (UCS) of the recycled old asphaltic concrete with cement additive (OACC) using cement content and curing time as input. The performance evaluations showed that predictions by the multiple regression model are very satisfactory in estimating the UCS.