Abstract: Workers worldwide spend a significant share of their time each week getting to and from work. With a finite number of hours in a day, workers are clearly affected by their amount of commute time, but their well-being is also likely to depend on their quality of commute time.
With the increase in connectivity and in real-time responsiveness, travelers and vehicles are becoming "real-time optimizers" of their trips.
The existing public transit infrastructure in the United States already generates a tremendous amount of data, however, this information is often not used as effectively as it could be.
The Big Picture covers: state SB375 15% per capita driving reduction goal, auto-centered Silicon Valley versus transit-centered Helsinki, Proposition 26 (Chevron spent $3.4 backing it) as barrier to protecting the climate, public policy political viability comparison, trip caps, carrot/stick, sta
A combination of forces is affecting the development and delivery of infrastructure and transportation services and presenting the industry with new challenges.
Between 2000 and 2010, newly merged U.S. airlines decreased service to airports in small and mid-sized metropolitan regions, opting to consolidate their operations at high-value airport hubs (passenger transfer points).
Vision Zero plans concentrate on intersections that present a demanding environment.
Large scale human mobility data can be collected from mobile phones, car navigation systems, location-based applications, social media, Wi-Fi, and traffic cameras.
Stochastic models of traffic flow are used in a variety of applications, e.g., traffic state estimation, travel time reliability, and traffic control. This talk will present techniques used to develop stochastic models.