Synchronization concepts and sharing modes are highly regarded in intelligent transport systems. The convenience of online shopping platforms and the continuous growth of the global commodity consumption rate are essential driving forces for modern logistics and transport operations. The diversification and personalization of customer demands constitute emerging challenges that affect the design of intelligent transport systems. Multi-echelon and complex transport networks regularly impose hard-to-predict and variable challenges to the resource configuration and planning of transportation operations. Synchronization and resource sharing have been advocated as proactive and complementary strategies that can contribute to reducing cross-regional transportation and improving the efficient utilization of transportation resources.

Resource sharing enables the reallocation of limited resources based on customer demand characteristics, improving service synchronization, and allowing transport facilities to serve customers efficiently in intelligent transport systems. This interest is supported by the recent advances in emerging information technologies, such as blockchain, data mining, Internet of Things, cloud computing, and deep learning, which bring opportunities for transport enterprises to share information and resources. Synchronization and resource sharing in intelligent transport systems can be utilized and studied to improve the reliability and stability of complex transport networks and further encourage local government and transport companies to accept environment- and resource-friendly social services. Several issues have been raised on the use of traditional models and algorithms, including the establishment of new models, solution algorithm issues in intelligent transport systems, synchronization measures, resource configuration, and the application of intelligent technologies.

This Special Issue aims to publish original theoretical and/or applied research articles to further our understanding of how new models and algorithms will improve the efficiency of intelligent transport network design. We invite contributions that address the research problems related to the synchronization degree, resource sharing, optimization of the complex transport networks, and transportation performance measures. Review articles are also welcome.

Potential topics include but are not limited to the following:

• Synchronization-oriented transportation network modeling
• Models and intelligent algorithms for solving location-routing problems
• Multidepot, multiperiod resource sharing in sustainable transport networks
• Resource sharing modes and strategies
• Synchronization and resource sharing in important transport hubs
• Application of emerging technologies in transportation system management – e.g., deep learning, data mining
• The fusion of multi-source traffic data to support management decisions in intelligent transport systems