Welcome to the Memorial University of Newfoundland – Canadian Asphalt Binder Selection (CABS) tool! With this tool, pavement temperatures can be calculated using three different pavement temperature models: LTPP, SHRP, and the newly developed Canadian Pavement Temperature (CPT) Model. In addition, this tool is capable of suggesting the base asphalt binder grade based on computed pavement temperatures.

How to use: Anyone can use this trial version of the web-based tool. It is a user-friendly tool and constructed in step-by-step process. Upon initial entry to CABS, the software will prompt the user to input a project name and a project engineer. Next, the user should select the province and location of interest for their purposes through the available drop down lists. Once the province is selected, the location drop down list will be customized to display all the locations investigated within this province through the study. If the desired location is not available in this list, the user can select the part of province, where the project is located. The final drop down menu allows the user to select which pavement temperature model is to be used; CPT, SHRP, or LTPP. Based on the selected model, CABS will prompt the user to input the required relevant variables. In the case of the CPT model for example, air temperatures, standard deviations, depth to surface, latitude, and reliability are the required inputs. Furthermore, for the CPT model, CABS automatically determines which cluster the location of interest falls within based on the inputed location information. When all of the required data is entered, the “calculate” button may be clicked and the pavement temperature will be computed and displayed. In addition to providing the high and low pavement surface temperatures, CABS also returns the recommended base asphalt binder grade. It should be noted that the suggested binder is not corrected for traffic and is only recommended based on the computed temperatures.

Note: The new CPT model is a recently developed pavement temperature model for use specifically in Canada. CPT model functions by geographically dividing Canada into clusters of unique climatic zones. Independent temperature prediction equations were developed for each of these zones to accurately encompass the complex and varied Canadian climate.

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This app is capable of evaluating overall condition of a pavement section based on some commonly found distresses. The app takes distress density as input and provides the evaluated condition of the pavement section in terms of probability. The app also suggest necessary treatment based on combination of the distresses. Currently this app is on a trial version.

How to use: Anyone can use this trial version of the app as a web app. You are required to provide your email address at the beginning or signing is available with your google account. The app has two sements. The “Training” segment gives you idea about different pavement distresses and how you should select density for each distress. Based on your idea from the “Training” segment you can go for field inspection and collect necessary data. Second segment is the “Rating” segment where you select different distress densities according to guideline provided in the “Training” segment. You will get overall condition of the pavement section in term of probability. This probability value basically tells you the probability of the pavement section being an acceptable condition. By default, any probability value of 0.5 or more is considered as “Acceptable.” See the “Recommendation” part at the bottom to see what the app suggests for pavement you inspected.

Note: This app has been built utilizing public opinion survey data of Newfoundland and Labrador conducted by the researcher. Therefore, the application is limited and should be correlated to the municipalities of Newfoundland and Labrador only. Also, this app is workable for the low volume paved roads only. The app still in a trial mode therefore discrepancies can be seen.

Link to the Software:

How to use it: 

Link to the Original Paper: 

Contact Information: