Over the past decades, transportation has become a quite active innovation field with many emerging technologies and business models being developed and applied to solve various transportation problems, and this trend will continue as urban infrastructure becomes increasingly intelligent. Various modes of transportation (such as ordinary vehicles, autonomous vehicles, taxis, buses, urban rail transit, bicycles, pedestrians, etc.) promote and restrict each other, making urban transportation systems very complex. Nowadays, research towards urban traffic engineering is not only limited to the optimization of traffic operation efficiency, but also pays more attention to the optimization of environmental protection, traffic safety, and economy.

At present, with the development of computer technology, theories and technologies related to intelligent transportation have been widely applied, which brings great opportunities to the development of theory and technologies of collaborative optimization of multi-transport modes. However, emerging technologies and theories (e.g., deep learning, artificial intelligence, data mining, cloud computing, connected cars, and autonomous driving) are facing many challenges and even doubts in terms of methodology and application, and some research often ignores the consideration of the traditional traffic problem. Therefore, how to effectively apply new technologies and new theories to solve the problem of traditional traffic, to realize the optimization of urban traffic from a single dimension with the comprehensive consideration of efficiency, environment, economy, safety and other dimensions will contribute to the positive development of urban traffic.

In this Special Issue, we solicit high-quality research focused on state-of-the-art techniques and methods employed in multi-transport mode coordinated dynamic control theory and modeling. A particular emphasis will be brought to interdisciplinary work and innovative ideas. We welcome submissions on emerging regional transportation coordination technologies and services related to multi-transport modes and their infrastructure, operations, policy requirements, and impacts. Authors are invited to present original research and review articles that will stimulate continuing efforts in this field.

Potential topics include but are not limited to the following:

• Dynamic self-adaptive system of regional traffic signal timing based on cloud computing
• Application of artificial intelligence and deep learning in dynamic control of variable lanes and presignal at intersections
• Collaborative optimization method for regional traffic dynamic control under mixed driving conditions with autonomous driving vehicles
• Real-time crash risk assessment and safety control for motor vehicle and non-motor vehicle mixed intersections
• Theory and application of regional traffic dynamic cooperative control considering safety and environmental factors
• Supported nonmotorized traffic dynamic safety technology under the background of the Internet of Things
• Real-time shared parking lot allocation considering the dynamic degree of road networkloading
• Supported pedestrian behavior analysis