Software

Software applications.

Excel workbook implementing the HDM-4 Road User Cost Model developed by Rodrigo Archondo-Callao of the World Bank.

The HDM-4 Road User Costs Model (HDM-4 RUC) is an Excel based model designed to compute, for different vehicle types and road conditions, vehicle speeds, fuel consumption, vehicle operating costs, passenger time costs, emission and accident costs based on the Highway Development and Management Model (HDM-4) relationships. The model computes unit road user costs, performs sensitivity analysis, computes network road user costs and performs a simplified economic evaluation of a road project. The current version of HDM-4 RUC (Version 5.0) computes the vehicle operating costs and speeds, function of roughness, cubic polynomials that can be used together with the RED and RONET models.

The Roads Economic Decision Model (RED) was developed under the Road Management Initiative (RMI), a key component of the Africa Transport Policy Program (SSATP) aiming at improving the decision-making process for the development and maintenance of low-volume roads. The model performs an economic evaluation of road investments options using the consumer surplus approach and is customized to the characteristics of low-volume roads such as a) the high uncertainty of the assessment of the model inputs, particularly the traffic and condition of unpaved roads; b) the importance of vehicle speeds for model validation; c) the need for a comprehensive analysis of generated and induced traffic; and d) the need to clearly define all accrued benefits. RED computes benefit for normal, generated, induced, and diverted traffic, and takes into account changes in road length, condition on the dry and wet seasons, geometry, surface type, and accident rates. Users can add to the economic analysis other benefits or costs such as social benefits and environmental impacts, if computed separately. RED is setup on a series of Excel workbooks, which collect all user inputs and present the results on an efficient manner, performing sensitivity, switching values and risk analyses. The current version of RED (Version 4.0), released in April 2018, which is available only in English, adds optionally CO2 emissions benefits or costs to the cost benefit analysis. RED version 3.2 is available in English, French and Spanish. With the same input data, both Version 3.2 and 4.0 produce the same results.

The Road User Charges Model (RUC) estimates road user charges required to ensure that, for a particular country, the costs of operating and maintaining all roads are fully-funded, and that each vehicle class covers its variable costs. The model is an Excel workbook that: (i) estimates annualized maintenance costs needed to maintain a stable road network; (ii) defines countrywide annual recurrent expenditures, annual investments needs, and source of financing; (iii) estimates road user revenues from annual license fees, fuel levies, load damage fees, and tolls; (iv) analyzes the allocation of road user revenues and optimizes road user charges; and (v) computes externalities and summary macro indicators. Some of the functionality of the RUC model can be found on the RONET model.

RONET is a model which could be used by decision makers to appreciate the current state of the road network, its relative importance to the economy (e.g. asset value as percentage of GDP) and to compute a set of monitoring indicators to assess the performance of the road network. Call it HDM-LITE.

With RONET the performance of the road network is assessed over time under different road maintenance standards. It determines, for example, the minimum cost for sustaining the network in its current condition and estimates the savings or the cost to the economy for maintaining the network at different levels of services. RONET determines the allocation of expenditures among recurrent maintenance, periodic maintenance, and rehabilitation road works, determines the optimal maintenance standard for each road class (highest Net Present Value) and compares it with the current (budget constraint) and other maintenance standards. Finally, it determines the "funding gap" defined as the difference between current maintenance spending and required maintenance spending (to maintain the network at a given level of service) and the effect of under spending on increased transport costs. The Road User Revenues Module estimates the level of road user charges required (e.g. fuel levy) to meet road maintenance expenditures under different budget scenarios. This could be used by road fund boards to prepare a business case to negociate and revise road tariffs on a sound basis.

Windows application for predicting the strength of a pavement for analysis with HDM-4 using different techniques.

This is an Excel workbook for calibrating response-type roughness meters. It is based on the approach from the World Bank guidelines, as well as experience in developing and calibrating ROMDAS roughness meters. The work book takes the raw roughness data from each run on a test site, and tests the standard error to ensure that the results of individual runs are consistent enough for the data to be used for calibration. If not, it indicates 'Fail' so you should do additional runs. For further information on calibrating roughness meters check out the ROMDAS user guide annex, available for download from www.romdas.com.
UK DCP 3.1 is a software tool that can be used to analyse and interpret data collected using a Dynamic Cone Penetrometer (DCP). This software is not intended to replace normal engineering judgement. The procedures used are intended for users who already have a throrough understanding of DCP analysis and are capable of deciding which method of analysis is most appropriate for individual situations.
Software for predicting the social benefits of road investments. Accompanies TRL ORN 22.

Program which takes a description of a network (in terms of nodes and links) and calculates the shortest path between origins and destinations. Allows for segments to be removed from the network and determine the impact of this on the travel distances.

HDM-RUE was developed to predict vehicle operating costs for economic analysis. It prepares tables of vehicle operating costs and contains many features not available in the HDM-4 software. The program was originally developed during the writing of the book 'Modelling Road User and Environmental Effects in HDM-4' but is now marketed commercially by HIMS Ltd. who purchased the IP.
HDM-RUE was developed to predict vehicle operating costs for economic analysis. It prepares tables of vehicle operating costs and contains many features not available in the HDM-4 software. The program was originally developed during the writing of the book 'Modelling Road User and Environmental Effects in HDM-4' but is now marketed commercially by HIMS Ltd. who purchased the IP.
HDM-RUE was developed to predict vehicle operating costs for economic analysis. It prepares tables of vehicle operating costs and contains many features not available in the HDM-4 software. The program was originally developed during the writing of the book 'Modelling Road User and Environmental Effects in HDM-4' but is now marketed commercially by HIMS Ltd. who purchased the IP.
User's guide for cumulative deviation sectioning software

Software which uses the principles of cumulative deviations (CUSUM) for creating homogeneous sections for analysis with programs such as HDM or any other PMS. Manual can be downloaded elsewhere.

Application of cumulative deviation sectioning method to New Zealand's State Highways
Software which allows you to test the implications of different profilometer sensor numbers and spacings to measure rut depths
Report showing results of analysing different configurations of rut depth proflometers to show bias and other implications on measurements. Check out the second report which did additional analyses here.
This is a time logging program that we've developed which allows you to record the time against different tasks. You can prepare daily reports summarising the time which is useful for billing. If there are multiple users their times will be synchronised to a central database on the network.

Source code for the HDM Tools software.

Suite of applications by I. Greenwood of Opus International Consultants for calibrating and applying HDM, or other economic appraisal models. Includes the ability to predict the effects of congestion on fuel and tyres, work zone modelling, as well as calibrating specific modelling parameters.
Suite of applications by I. Greenwood of Opus International Consultants for calibrating and applying HDM, or other economic appraisal models. Includes the ability to predict the effects of congestion on fuel and tyres, work zone modelling, as well as calibrating specific modelling parameters.
Suite of applications by I. Greenwood of Opus International Consultants for calibrating and applying HDM, or other economic appraisal models. Includes the ability to predict the effects of congestion on fuel and tyres, work zone modelling, as well as calibrating specific modelling parameters.
Suite of applications by I. Greenwood of Opus International Consultants for calibrating and applying HDM, or other economic appraisal models. Includes the ability to predict the effects of congestion on fuel and tyres, work zone modelling, as well as calibrating specific modelling parameters.

The World Bank's Deterioration of Unpaved Roads Model (DETOUR) implements in MS-Excel the road deterioration relationships for unpaved roads of the Highway Design and Maintenance Standards Model (HDM-III), which are the same as the forthcoming Highway Development and Management Model (HDM-4). DETOUR was developed for the World Bank Rural Transport Thematic Group and is designed primarily for engineered unpaved roads, of either gravel or earth surfacing, because the empirical models are based on a variety of such roads. When necessary it is possible to use the relationships also for tracks as a first estimate, but the user needs to be aware that the environmental effects of drainage and rainfall may be poorly represented. For more information regarding roughness and the economic aspects of low volume roads, visit the Design & Appraisal of Rural Transport Infrastructure Web page maintained by the World Bank Rural Transport Thematic Group.

Program for predicting pavement deterioration rates
Guide describing the HDM Manager - a shell for providing data to HDM-III
FORTRAN code for predicting Optimal Life deterioration.
FORTRAN code for predicting Optimal Life deterioration.

The World Bank's Vehicle Operating Costs Model (HDM-VOC) is a stand alone program that estimates vehicle operating costs, using the HDM-III relationships, for ten vehicle types as a function of the vehicle characteristics, vehicle utilization, vehicle unit costs, and the road characteristics. The HDM-VOC software is available for downloading at this site, together with Technical Paper 234 'Estimating Vehicle Operating Costs' (PDF 3,336 KB) by Rodrigo S. Archondo-Callao and Asif Faiz..

The RTIM2 Model was developed by the TRL for economic analysis of rural roads.