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Proactive Safety Management Empowered by Big Data
2021-10-19 15:00 - 16:00 (America/New_York) | Virtual, 6 MetroTech Center, Brooklyn, NY, 11201, United States
In the last few decades, data-driven methods have been used to assist with key tasks of road safety management like hotspot identification, countermeasure development, and before-after evaluation. These methods have traditionally relied heavily on historical crash data for safety assessment, which can take a long time to collect. Professor Kun Xie will share a more proactive and time-efficient approach based on surrogate safety measures (SSMs), which can assess safety by capturing the more frequent “near-crash” situations. Massive amounts of data from emerging sources like GPS devices, smartphone apps, traffic cameras, naturalistic driving, and connected vehicles (CV) can be leveraged to extract SSMs on a large scale, presenting new opportunities for proactive traffic safety management. Results will show that risk status is a reliable criterion for safety assessment, and promisingly point towards the use CV data for proactive traffic safety management.

Transportation Camp NYC 2021
2021-10-16 10:30 - 15:00 (America/New_York)
TransportationCamp is an unconference – every session is planned, proposed, and led by attendees like you. It’s the perfect opportunity to share your transportation passion with a diverse gathering of fellow enthusiasts. TransportationCamp welcomes all attendees, whether you’re a planner, software developer, engineer, student, transportation professional, community member, policy maker, or just excited about mobility! TransportationCamp is an opportunity for professionals, students, and enthusiasts of urban transportation and technology get together to discuss the most diverse ideas. The unconference format of the event makes it easy for like-minded people to shape the best experience,
Once you get your ticket, keep an eye out for our emails with further information and links for the exclusive TransportationCamp NYC 2021 Slack workspace and Zoom information for the sessions. You can find the main event schedule below.
2021 Main Event Tentative Schedule
Eastern Daylight Time (EDT) in US
10:30AM EDT Welcome and Kick Off
11:00AM EDT Session 1
12:00PM EDT Session 2
1:00PM EDT Lunch & Keynote Talk by Chris Pangilinan – Head of Global Policy, Public Transportation, Uber
2:00PM EDT Session 3
3:00PM EDT Session 4
First Time at a TransportationCamp?

How To TransportationCamp: The folks at MobilityLab have taken the time to put together a TransportationCamp 101 guide that explains all aspects of the event.
Participation Encouraged: Sessions are formed as the day goes on, so be sure to come with topics for discussion. If you have an idea, feel free to share and add your thoughts.
Rule of Two Clicks: Never hesitate to leave a session if you suddenly find it’s not for you, or if there’s another session that you want to check out, too!
New! Scholarship Essay Opportunity! Check here for more details.

Employer-Backed Bikes Concept Showcase
2021-09-29 12:00 - 13:00 UTC
Join the New York City Economic Development Corporation (NYCEDC), in partnership with NYU C2SMART Center, Fraunhofer, and Nelson
ygaard, as they convene public and private stakeholders toward implementing this bike access model in NYC. The goal of this effort is to define the opportunity and connect stakeholders interested in growing cycling for employees in New York City. The Concept Showcase will evaluate potential approaches to catalyze employer leasing programs for bikes, e-bikes, and scooters in New York City. It will take place on Sept 29, 12 to 1 PM ET. You can register for that event here.

Incentive Design for Promoting Ridesharing
2021-09-08 15:00 - 16:00 UTC
Traffic congestion has become a serious issue around the globe, partly owing to single-occupancy commuter trips. Ridesharing can present a suitable alternative for serving commuter trips. However, there are several important obstacles that impede ridesharing systems from becoming a viable mode of transportation, including the lack of a guarantee for a ride back home as well as the difficulty of obtaining a critical mass of participants. At this event, Neda Masoud will discuss a study which addresses these obstacles by introducing a Traveler Incentive Program (TIP) to promote community-based ridesharing with a ride-back home guarantee among commuters. The TIP program allocates incentives to (1) directly subsidize a select set of ridesharing rides, and (2) encourage a few, carefully selected set of travelers to change their travel behavior. We formulate the underlying ride-matching problem as a budget-constrained min-cost flow problem and present a Lagrangian Relaxation-based algorithm with worst-case optimality bound to solve large-scale instances of this problem in polynomial time. We further propose a polynomial-time budget-balanced version of the problem. Numerical experiments suggest that allocating subsidies to change travel behavior is significantly more beneficial than directly subsidizing rides. Furthermore, using a flat tax rate as low as 1% can double the system’s social welfare in the budget-balanced variant of the incentive program.
Bio: Neda Masoud is an Assistant Professor of Civil and Environmental Engineering at the University of Michigan. She holds a Bachelor’s of Science Degree in Industrial Engineering and a Master’s of Science degree in Physics. She received her Ph.D. in Civil and Environmental Engineering from the University of California Irvine. Her research focuses on devising operational and planning tools to facilitate the transition into the next generation of mobility systems, which are envisioned to be connected, automated, electrified, and shared.
