| 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.