Optimization Concepts in Traffic and Transportation Science
1RMIT University, Melbourne, Australia
2Queensland University of Technology, Brisbane, Australia
3University of New South Wales, Sydney, Australia
Optimization Concepts in Traffic and Transportation Science
Description
Traffic and transportation science consists of a broad range of topics. Traditional mathematical models and analysis techniques are not capable of translating many real life problems in traffic and transportation engineering. In recent decades, optimization techniques and computational simulation and optimization have provided solutions to address real world problems.
This special issue aims at creating a forum of discussion on recent applications of optimization in traffic and transportation science and engineering. Different optimization techniques including using optimization algorithms, heuristic algorithms, iterative methods, and global convergence will be considered in this special issue. We invite authors to contribute research as well as review articles that will illustrate a diversity of new developments in this area. This issue accepts high quality articles containing original research results of exceptional merit, and it will let the readers of this journal know more about advances and innovations in traffic and transportation science.
Potential topics include but are not limited to the following:
- Using optimization algorithms, heuristic algorithms, iterative methods, and global convergence in the following:
- Public transport planning and scheduling
- Transport demand forecasting
- Traffic management, operations, and control
- Freight transport operations and performance
- Transport infrastructure maintenance and management
- Intelligent transportation systems
- Transportation safety
- Transport, land-use, and sustainability