STRIDE CENTER SELECTED PRODUCTS

PROJECT C3 - PRODUCT 1: Spatiotemporal Methodology to Compare Travel Characteristics for Low-Income and High-Income Populations

What does it do? The methodology shows spatial and temporal variation in travel characteristics for low-income and carless populations in comparison to higher-income populations. Planners and transit agencies can use the methodology at the regional/local level to improve transit options for these households, particularly in suburban and rural areas.

PRODUCT 2: Methodology to Examine Influencing Factors for Older Adults to Adopt Shared Mobility Services

What does it do? The methodology examines the influencing factors for older adults to adopt shared mobility services. Planners, transit agencies, and social service agencies can use this information to design solutions that better address the mobility needs and challenges of the aging population.

PROJECT E2 - PRODUCT: Travel Behavior Questionnaire

What does it do? The online questionnaire examines changes in the transportation travel behavior of different population cohorts which can provide important insights for regional transit authorities and professionals involved in policy-making and planning.

Research Team:

Dr. Abhinav Alakshendra, University of Florida

Dr. Ruth Steiner, University of Florida

Dr. Allie Thomas, University of North Carolina at Chapel Hill

PRODUCT 3: Set of Python Script Editors to Modify GTFS Data

Based on Scenarios’ Needs

What does it do? The four editors can be used for different purposes:

1. suspending specific transit routes; 2. decreasing the transit frequency of a route; 3. increasing the transit frequency of a route; and 4. changing the service span of a route. Public transit agencies can use the editors to match vulnerable populations with transit solutions that improve their accessibility to various destinations (work, groceries, education, social activities) and develop scenarios based on changes in routes.

Research Team:

Dr. Eleni Bardaka, North Carolina State University

Dr. Xia Jin, Florida International University

Dr. Noreen McDonald, University of North Carolina at Chapel Hill

Dr. Ruth Steiner, University of Florida

Dr. Jeffrey LaMondia, Auburn University

PROJECT F4 - PRODUCT:

Computational Near-Crash Warning System Using Only the Basic Safety Messages (BSMS) Generated by the Connected Vehicles (CVS)

What does it do? This product can improve traffic safety by giving near-crash warnings utilizing a data source that does not rely on the vehicle’s own sensors and will continue to work if the vehicle sensors malfunction. It can also be used as an additional collision warning tool on top of the existing ones, potentially decreasing the number of traffic accidents.

Research Team:

Dr. Shuang Z. Tu, Jackson State University

Dr. Robert Whalin, Jackson State University

Project J - PRODUCT: Improvements to Traffic Simulation Models of Freeway

Work Zones

What does it do? The improved VISSIM models provide more accurate modeling of traffic conditions in freeway work zones which can inform agencies on how best to reduce congestion when planning lane closures.

Research Team:

Dr. Rod Turochy, Auburn University

Dr. Virginia Sisiopiku, University of Alabama at Birmingham

Dr. Billy Williams, North Carolina State University

Dr. James Tsai, Georgia Institute of Technology

Project M2 - PRODUCT:

1) Hybrid Machine Learning and Fuzzy Logic Model for Signal Timing Selection Under Non-Recurrent Conditions

2) Multi-Objective Optimization Methods to Select Signal Timing Plans Under Congestion Conditions

What do they do? State and local transportation agencies can use the products to design and implement signal timing plans for activation during nonrecurrent conditions like arterial incidents, diversions due to freeway incidents, surges in demands, and weather events. This is expected to improve the mobility and reliability of transportation systems.

Research Team:

Dr. Mohammed Hadi, Florida International University

Dr. Virginia Sisiopiku, University of Alabama at Birmingham

PROJECT D5 - PRODUCT:

1) Scan of Urban Freight Policies and Technologies

2) Qualitative Analysis of Online Driver Comments

What do they do?

The products increase awareness of the problems faced by delivery drivers navigating urban areas. Planners, businesses and last-mile shipping carriers can use this information to design effective interventions and policies to address these issues.

Research Team:

Dr. Noreen McDonald, University of North Carolina

Dr. Ruth Steiner, University of Florida

PROJECT J5 - PRODUCT: New, Simplified Speed and Capacity Models

What does it do?

The newly developed capacity model addresses known deficiencies in the current Highway Capacity Manual (HCM) weaving segment analysis and generates relatively lower capacities than the current HCM. Agencies can use the model to improve the geometry of those sections and mitigate the effects of impending congestion and associated safety risks.

Research Team:

Dr. Nagui Rouphail, North Carolina State University

Dr. Lily Elefteriadou, University of Florida

Dr. Ishtiak Ahmed, North Carolina State University