Over the last decade, globalized supply chains, restructured logistics and freight transportation practices, and exploding online shopping have influenced how goods are produced, transported, stored, and sold. All these changes have resulted in substantial shifts in the spatial distribution of freight activity, as well as vehicles crashes that involved at least one freight vehicle (freight vehicle crash). As a case study, we examine the correlation between development patterns and freight vehicle crashes on city streets in Dallas-Fort Worth (DFW), TX.
The City of Fort Worth, Texas, has requested the University of Texas at Arlington to develop a framework, capacity analysis, and strategic development plan for the Fort Worth Medical Innovation District (FW-MID). We envision this project in two phases. The first phase responds to the intent of the City to conduct a capacity analysis and develop a comprehensive framework about the FW-MID.
This project aims to leverage innovative techniques to develop an intelligent system that assists blind pedestrians to decide when it is safe to cross streets, especially at the uncontrolled crossing locations, where neither traffic lights nor STOP signs are available.
Motivated by the priorities highlighted by Texas Department of Transportation (TXDOT) and following the guidelines in the recent presidential “Executive Order on Maintaining American Leadership in Artificial Intelligence” in 2019, this proposal aims to utilize the state-of-the-art tools and techniques in the field of Artificial Intelligence and Data Science to automatically identify and report traffic-related anomalies and hazards using live traffic camera footage across major highways and arterial roads in the State of Texas.
The development and deployment of Plug-in Electric Vehicles (PEVs) helps reducing energy use, achieve greater energy security, decrease emissions, and provide operating cost stability. To help consumers overcome the higher initial purchase costs of PEVs, and to help promote PEV adoption, government agencies and electric utilities have offered incentives of various design.
Transportation infrastructure plays a vital role in urban life by providing mobility and accessibility for people and goods, but also bring externalities such as air pollution. Research has been devoted to study negative health outcomes and environmental injustice due to transportation externalities. New methods, however, are still required to overcome the data scarcity and improve the accuracy of existing data which are mostly based on estimations rather than actual exposure effects.
Historically, transportation agencies’ main priority has been to fund, build and expand highways to safely meet the growing demand for vehicle travel. Their project prioritization processes, therefore, have focused primarily on improving capacity along the most congested major routes. Many of these agencies, however, have experienced a shift in priorities toward the maintenance of existing infrastructure, the facilitation of multi-modal transportation, and the operations and management of existing infrastructure—applications that can be more challenging to fund.
The Madison, WI region is adding more jobs than workers and currently faces a labor shortage. To address this challenge, in 2018, the Wisconsin Department of Workforce Development launched the Commute to Careers program (CtC) to reduce transportation barriers for unemployed, low and moderate-income workers.
The aim of this project is to collect data on the recovery processes due to natural disasters to develop time and cost estimation models for post-disaster recovery activities, identify tipping points to timely post-disaster recovery processes, and determine effective policies and educational programs which prevent substantial delays in the restoration period. Due to increasing frequency and severity of natural hazards occurrence, most recovery activities take longer duration than the initial anticipated plan created immediately after the disaster happen.
Food and Flora Waste to Fleet Fuel: Development and Application of the F4 Framework
Project ID: CTEDD 019-16
Author(s): Melanie Sattler, University of Texas at Arlington
Co-Author(s): Kate Hyun, University of Texas at Arlington; Arpita Bhatt, University of Texas at Arlington; Victoria Chen, University of Texas at Arlington; Caroline Krejci, University of Texas at Arlington; Ardeshir Anjomani, University of Texas at Arlington;
As cities strive for more sustainable transportation systems, many are considering renewable fuels for fleets. Biogas has several advantages as an alternative fuel. Composed primarily of methane, it can be cleaned for use in natural gas vehicles, or burned in a turbine/engine to generate electricity for electric vehicles. Biogas can reduce air pollutant emissions from fleet vehicles; in addition, if wastes are used to produce the biogas in digesters, the problem of urban wastes is reduced.