CycleBack NYC: Scaling Employer-Based Bike Access Cycling as a commuter option is growing rapidly, and New York City seeks to build on this momentum by introducing a new affordable way for New Yorkers to obtain bicycles. Employer bicycle leasing in Europe has allowed employees to obtain a new bicycle as a fringe benefit and repay…
COVID-19 and Transportation: C2SMART’s Transporation Data Dashboard C2SMART Integrating data sources from multiple agencies and industries, C2SMART researchers have developed a publicly accessible data dashboard that displays in real-time transportation trends such as subway ridership, bus speeds, freight activity, bike usage and, using computer image processing and publicly available NYCDOT traffic cam footage, pedestrian density…
Calibration and Development of Safety Performance Functions for New Jersey The predictive models provided by the Highway Safety Manual (HSM) are based on safety performance functions (SPFs), which are statistical regression models based on observed crash data from similar facility types that estimate the predicted average crash frequency for the base conditions. To make the…
Sparkman, The Smart Parking App: Optimizing Parking on College Campuses Every vehicle trip starts and ends with parking, and shortages or misallocations of parking spaces not only lead to lost time, money and productivity but also to congestion, accidents, environmental impacts, and other surprising spillover effects. Universities face particularly complex parking problems due to the…
ARISE Colloquium 2020 On Friday, August 14, 2020, 62 New York City high school students presented their summer research over Zoom as part of the Applied Research Innovations in Science and Engineering (ARISE) Colloqium. Sakeef Kibria and Sardor Rahmatulloev, mentored by C2SMART Researchers Suzana Duran Bernardes, Jingqin Gao and C2SMART Director Kaan Ozbay, presented their work on the…
Joseph Chow, Ziyi Ma, Optimizing a Redesigned Bus Network using Open-Source Simulation Despite the emergence of many new mobility options in cities around the world, fixed-route transit, such as bus travel, is still the most efficient means of mass transport. Since 2007, travel speed reductions and increased congestion due to greater mobility options competing for…
Quanyan Zhu, Rae Zimmerman, Secure Strategies for Vehicular Ad Hoc Networks in CAV A Vehicular Ad hoc Network (VANET) is a recent innovation in information and communication technologies to allow communications among vehicles and enable a connected and autonomous transportation system. However, its security and resilience are of serious concern. This talk aims to give…
Li Jin, Using Queuing Models to Design Connected and Autonomous Transportation Systems In this webinar, Professor Li Jin discusses a class of design problems related to connected and autonomous transportation systems (CATS) using queuing models. Classical queuing models have been extensively used for conventional transportation systems. However, their application in CATS has not been well…
C2SMART faculty and staff proudly recognize the following graduates. These students were not only crucial to day-to-day research activities at C2SMART, they also contributed in myriad ways to a sense of levity, innovation, and mission, making C2SMART a wonderful place to work, learn, teach and conduct research. C2SMART is collectively grateful for their efforts on…
Yan Leng, Collective Behavior over Social Networks Social networks are ubiquitous and shape individual behaviors; yet, behavioral data over networks are complex and stretch the limit of conventional analysis and models. In this talk, Dr. Leng presented two complementary projects that extend existing prediction and inference methods over social networks. First, she investigated how social…