Connected Cities for Smart Mobility toward Accessible and Resilient Transportation
During a public transit service disruption, passengers usually need path recommendations to find alternative routes. In this webinar, MIT PhD Candidate Baichuan Mo will discuss his proposal for a mixed-integer
Bus Stop Chatter is a new series from C2SMART which brings transportation students into conversation with some of today's leading mobility companies to discuss innovation, disruption, and possibility in today's smart cities. In this installment, we will be joined by Laura Fox, General Manager at Lyft's CitiBike program, to discuss the role of shared mobility systems, from bikes to taxis, in driving the evolution of smart cities and urban mobility. Laura will share updates and highlights from Lyft's micromobility programming, and discuss bike safety with C2SMART student Suzana Duran Bernardes, followed by an audience Q&A.
Traffic accidents are among the leading causes of death for people aged 5–35 worldwide, causing transport externalities and thus unsustainability. At the same time, the introduction of almost fully connected and automated vehicles (CAVs) (levels 3–4 of SAE) is already a reality. Although CAVs go in the direction of smart mobility, their sustainability is still questionable because their deployment in open traffic introduces unexplored risks. The seminar will present how virtual reality and simulation are being used as a tool to replace naturalistic observations in the real-world and their pros and cons, in three different research projects on CAVs safety among which is a European Research Council Grant.
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,
Transportation Techies is a group of technologists, urban planners, commuters and more who are interested in how technology can enable the future of mobility in metropolitan areas.
The increasing popularity of smart cities and recent developments in sensing, edge computing and vehicle technologies and the availability of “big data” combined with sophisticated AI techniques offer an opportunity
3On February 22, 2023, New York University and Tongji University are joining forces to host an online urban transportation forum. The topics to be covered in this virtual event include
Dr. Lili Du will discuss the EP fleet management problem, which is mathematically modeled as a vehicle routing problem (i.e., mE2-VRP), aiming to optimally dispatch the minimum number of EPs to approach and serve the EDs using different proportions of EV flows to save EDs’ travel time and mitigate traffic congestion to different extents in different network congestion and charging station coverage scenarios. She will also discuss suggestions for improving the service efficiency of CaaS + .
COVID has exacerbated two emerging trends in transportation analysis: (1) the rise of passively-generated big data; and (2) the increasing need to deal with the “unexpected” disruptions. This talk emphasizes the need for learning big and small data for transportation planning and resilience analysis. Different ways of learning are described, with applications ranging from long-term planning analysis to rapid responses under disruptions.
This presentation introduces a deep choice framework that synergizes DNNs and DCMs to model individual travel decision.
The webinar will discuss the U.S. DOT Intersection Safety Challenge Prize Competition, including a program overview, the Prize Competition structure, and Stage 1A expectations.
In this talk, Professor Fosgerau presents results from application to large datasets (1,337,096 GPS traces of car trips, 280,000 GPS traces of bicycle trips) in Copenhagen.