SMART-Signal   Although measuring and archiving freeway traffic performance using commonly available loop detector data has become a norm for many transportation agencies, similar approaches for urban arterials do not exist. In practice, operational data from traffic signal systems are neither stored nor analyzed, which prevents proactive management of arterial streets. The development of the SMART-Signal (Systematic Monitoring of Arterial Road Traffic Signals) system fills in this gap. The SMART-Signal system simultaneously collects event-based high-resolution traffic data from multiple intersections and generates real-time arterial performance measures including intersection queue length and arterial travel time. The development of the system has laid the groundwork for better traffic models and control strategies and opens up entirely new opportunities for managing traffic on congested roads.
 
   
  Traffic Behavioral Study on the Effects of the I-35W Bridge Collapse    The I-35W Mississippi River bridge (officially known as Bridge 9340) was an eight-lane, steel truss arch bridge that carried Interstate 35W across the Saint Anthony Falls of the Mississippi River in Minneapolis, Minnesota, United States. During the evening rush hour on August 1, 2007, it suddenly collapsed, killing 13 people and injuring 145. Immediately after the collapse, help came from mutual aid in the seven-county Minneapolis-Saint Paul metropolitan area and emergency response personnel, charities, and volunteers. Within a few days of the collapse, the Minnesota Department of Transportation (Mn/DOT) planned a replacement bridge, the 10-lane I-35W Saint Anthony Falls Bridge. Construction was completed rapidly, and it opened on September 18, 2008. Although the capacity of the new bridge is larger, the daily traffic volume drops, comparing to the old bridge. What's going on?
 
   
 
Mcity Augmented Reality 
  This technology develops an augmented reality environment for connected and automated vehicle (CAV) testing and evaluation, in which background traffic is generated in microscopic simulation and provided to testing CAVs. The augmented reality combines the real-world testing facility (Mcity) and a simulation platform, in which movements of testing CAVs and traffic signals in the real-world can be synchronized in simulation, while simulated traffic information can be provided to testing CAVs. Testing CAVs “think” they are surrounded by other vehicles and adjust behaviors accordingly. At the same time, behaviors of simulated vehicles are also influenced by the testing CAVs. Information between real world and simulation is transmitted through DSRC. Two testing scenarios are developed: red-light running and railway crossing.
 
   
  Cyber Security    Existing traffic control systems are mostly deployed in private wired networks. With the development of wireless technology, vehicles and infrastructure devices will be connected through wireless communications, which might open a new door for cyber attackers. It is still not clear what types of cyber-attacks can be performed through infrastructure-to-infrastructure (I2I) and vehicle-to-infrastructure (V2I) communications, whether such attacks can introduce critical failure to the system, and what impacts of cyber-attacks on traffic operations are. This paper investigates the vulnerability of traffic control system in a connected environment, where four typical elements including signal controllers, vehicle detectors, roadside units (RSUs), and onboard units (OBUs) are identified as the attack surfaces.