Abstract
This paper discusses the network design problem (NDP), solved for travel time minimization and road safety maximization. Similarly to other NDP models, the model is formulated as a bi-level multi-objective optimization problem. The estimation of the system time benefit and safety benefit is performed using previously developed methods. Two different approaches are applied and discussed for solving the problem: the constrained multi-objective optimization and the multi-objective genetic algorithm. Both approaches are tested on a real-size network, using a large set of candidate projects. The paper presents a discussion regarding the different optimal solutions obtained, emphasizing the relative attractiveness of the candidate projects.
| Original language | English |
|---|---|
| Pages (from-to) | 829-851 |
| Number of pages | 23 |
| Journal | Transportmetrica A: Transport Science |
| Volume | 13 |
| Issue number | 9 |
| DOIs | |
| State | Published - 21 Oct 2017 |
Keywords
- Network design problem
- constrained optimization
- multi-objective optimization
- road safety
- system time
All Science Journal Classification (ASJC) codes
- General Engineering
- Transportation