Article ID: | iaor2004304 |
Country: | United Kingdom |
Volume: | 36A |
Issue: | 9 |
Start Page Number: | 789 |
End Page Number: | 803 |
Publication Date: | Nov 2002 |
Journal: | Transportation Research. Part A, Policy and Practice |
Authors: | Melachrinoudis Emanuel, Kozanidis George |
Keywords: | programming: integer, forecasting: applications |
This paper presents a methodology for allocating funds to highway safety improvements. Besides the commonly used binary variables that represent discrete interventions at specific points of a highway, continuous variables are introduced to represent the lengths of a highway over which continuous improvements, such a pavement resurfacing or lighting, are implemented. The problem is formulated as a mixed integer knapsack model with linear multiple choice constraints. Some insight into its solution properties is provided and an efficient branch and bound algorithm is proposed for its solution. A case study that illustrates the application of the model is also presented.