Connected Cities with Smart Transportation
What does the best of transportation engineering research have to say about maintenance, rehabilitation, and replacement of critical infrastructure? Structural Health Monitoring provides critical insight into answering these questions using new technologies that are changing the ways we tackle maintenance and rehabilitation of structures.
Wei and Chenxi will discuss the development and impact of the smart roadside unit, along with a Mobile Unit for Traffic Sensing (MUST) employed for data analysis and for reliable, efficient communication with surrounding vehicles.
SMS provides specialized, fiber-optic structural health monitoring (SHM) systems for bridges and tunnels and world-wide has worked with many agencies and engineering firms. Terry Tamutus, Founder and CEO of SMS,
The emergence of connected and autonomous vehicles (CAVs) presents increased opportunities to mitigate traffic congestion, improve safety and reduce accidents. Professor Zhong-Ping Jiang, and researchers Leilei Cui and Sayan Chakraborty are applying innovative reinforcement learning control methods to one challenging aspect of CAV control: lane changing in mixed traffic. The team takes a novel approach by reducing the trajectory planning and tracking problem down to the minimization of a cost function that depends on a target way-point in the lane a CAV is targeting.
In the State-of-the-Field event series, C2SMART leverages its consortium of researchers and experts to share a vision of the future of mobility and transportation systems. They'll share advances, opportunities, predictions,
The USDOT Connected Vehicle (CV) Pilot Program sought to test vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) applications to improve tranportation systems, mobility, and safety with real-world deployments in New York City,
One of the enduring challenges in statewide transportation planning is that consistent population travel data remains scarce. This is changing with the availability of large-scale ICT data. A one-year project
Presented by Chetan Sharma and Prof. Joseph Chow
Hosted by Morteza Bagheri, Associate Professor, Iran University of Science and Technology (IUST) Recently, the United States has faced several significant freight train derailments involving hazardous materials (HAZMAT), raising serious
Instructor: Tu Lan & Vivaldi Rinaldi, New York University Beginner level: No prior experience required. Schedule: Friday, October 11, 1:00 pm – 2:00 pm ET Description: Drones are becoming an
Abstract: Rapidly developing mobile and sensor networks are accumulating massive volumes of human mobility data in cities. Predictive modeling on these data is a fundamental problem in building decision support