Advanced Models and Practice for Addressing Emerging Cross-Cutting Issues in Multimodal Transportation Research
1University of North Carolina at Charlotte, Charlotte, USA
2Shijiazhuang Tiedao University, Shijiazhuang, China
3University of Houston, Houston, USA
4Chang'an University, Xi’an, China
Advanced Models and Practice for Addressing Emerging Cross-Cutting Issues in Multimodal Transportation Research
Description
Recent advances in computing, smartphones, communication technologies, and ubiquitous data have created a lot of opportunities to create sustainable, efficient, and growth-enabling multimodal transportation systems. These promising new opportunities offer great potential for developing cutting edge analytical methods and models and applying best practices to resolve many transportation issues.
This Special Issue aims to compile recent studies related to emerging cross-cutting issues in transportation. Original research and review articles related to impacts of such emerging technologies (such as connected and autonomous vehicles) on the planning, design, operation, management, and maintenance of multimodal transportation systems are welcomed. All aspects of theory, simulation, mathematical, and real experimental studies are of interest.
Potential topics include but are not limited to the following:
- Impact of connected and autonomous vehicles on the planning, design, operation, and management of transportation systems and vehicle-infrastructure integration
- Emerging technologies and methodologies in infrastructure asset management for multimodal transportation systems
- Smart transportation mobility solutions in smart cities