The road transportation system is heading towards the connected and automated paradigm. Automated (also known as autonomous) vehicles are being experimented on and they are not far from appearing in the market on a large scale. Wireless connectivity in various forms, for example, vehicle-to-vehicle or infrastructure (V2X), is being introduced that obviously enhances perception of traffic environment. With all vehicles being connected and automated, the resulting transportation system will operate in a fully automated manner, achieving undoubtedly improved traffic performances. However, the transition from currently unconnected to fully connected and/or automated transportation is anticipated to be gradual, with uncertain effects on traffic operation and environmental pollution. Consequently, a partially connected-automated vehicle environment (PCAVE) and mixed manual-automated traffic (MMAT) sharing the same infrastructure will dominate for a few decades. How the transportation system can benefit from the PCAVE is going to be a focal research issue from now on.

This special issue aims at compiling innovative technologies related to the PCAVE for advanced transportation and bringing them to the spotlight of the intelligent transportation systems (ITS). The scopes of this special issue broadly cover high quality research and review articles on modeling, simulation, experiments, and analysis of vehicular traffic focusing on real time data driven techniques in the PCAVE or CAVE. Specifically addressing the PCAVE, contributions to the state-of-the-art approaches of advanced driver assistance system (ADAS), autonomous driving, cooperative, optimal, and distributed control of vehicles, ecodriving, cooperative traffic signal coordination control, traffic management, multimodal connected and automated systems, and traffic safety enhancement are highly expected. The articles must be original, unpublished, or not currently under review by any other journals. For this special issue, we welcome new research articles addressing the partially connected-automated vehicle environment and mixed manual-automated traffic.

Potential topics include but are not limited to the following:

• Mathematical modeling and simulation of vehicular traffic network
• Cyber physical human systems modeling and control
• Cooperative and distributed control and management of traffic
• Multimodal connected and automated systems
• Ecological driving techniques on diverse transportation scenarios
• Applications of artificial intelligence techniques in the context of intelligent transportation systems
• Advanced driver assistance systems (ADAS)
• V2X communication and cloud or edge computing
• Perception of traffic state and environment from limited V2X data
• Connectivity and automation in freight systems