This research will assess the feasibility and effectiveness of a Biker Assistance System (BAS) in different roadway contexts using a prototype mobile application. The application would make use of smartphones’ onboard speakers and microphones to monitor potential hazards and help bicyclists avoid crashes.
Roadway lighting is roadway infrastructure used to ensure nighttime safety and security for multimodal road users. Key tasks in nighttime safety management include periodically measuring roadway lighting levels, diagnosing lighting performance and safety impacts, and providing decision-making support for lighting maintenance and upgrade.
High-speed expressways functionally operate like freeways but have at-grade intersections that provide critical access to communities via minor roadways. These intersections provide key economic entry points to jobs and economic development and serve as lifelines for rural communities. They also provide ingress and egress for emergency vehicles and serve as evacuation routes in cases of natural disaster. As planning, design, operational and/or safety concerns arise at these at-grade intersections a typical response from concerned agencies can include either closure of such intersections leading to inequitable adverse economic and other impacts on the surrounding communities, install warning signs, or explore the construction of high-cost grade-separated interchanges.
Roadway lighting is a basic roadway infrastructure to ensure nighttime safety and security for all road users (motorists, pedestrians, cyclists, and transit passengers). To cost-effectively maintain a roadway lighting system, key tasks in infrastructure management include periodically measuring roadway lighting levels, diagnosing lighting performance based on collected data, and providing decision-making support for maintenance and improvement.
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. While great social resources have been designated to install the Accessible Pedestrian Signals (APS) at intersections to provide guidance instructions to people with visual impairments, it is economically infeasible to equip all intersections/walkways across the nation with such infrastructures.
The focus of this project is the investigation, testing and further development of a RFID system to efficiently maintain the existing transportation infrastructure; especially Roadways and Bridges. For Example, in the event of an active snowfall or blizzard, snow may pile up and ice over on the roadway and bridges causing hazardous conditions for cars and trucks. The current warning systems employed utilizes a LED display board that advises the drivers to take caution, but it does not provide data.
American cities are in the midst of a personal mobility revolution, particularly centered on the growing phenomenon of dock-less bikeshare programs that have launched in many cities in the past few years. As city officials and community activists seek to diversify the modes of transportation available to residents and visitors, flexible new options such as dock-less bikeshare are emerging as low-cost alternatives to the more traditional public investments in mass transit and improved roadways. At the same time, a rash of private investment from high-tech firms and international consortiums has further reduced the startup and operating costs of dock-less bikeshare programs, which operate without costly docking stations or local administrative staff.
Setting priority in highway improvement projects where safety consideration plays a differentiating role in the decision making process. As such, quantitative safety is now being recognized as an important element in the project selections process at the planning phase. Quantitative evaluation of safety performance of particular roadway facilities, for example, segments and intersections, is critical to understand where the safety concerns need to be addressed on a priority basis. Moreover, it is also important to implement appropriate safety improvements to prioritized set of locations where promise of safety benefits is potentially high.
Roadway debris and other unexpected obstructions, such as surface damage, or lane hydroplaning due to weather conditions like snow or precipitation, can lead to significant traffic delays or worse, crashes. The presence of roadway debris is particularly concerning in high-traffic and high-speed roadways where dense traffic conditions reduce visibility and large volumes of vehicles are exposed to risk. Although prevention of the various causes of obstructions and defensive driving can reduce these consequences, the problem cannot be eliminated entirely.
The impact of predictive safety assessment based on quantitative methodology of the Highway Safety Manual (HSM) is significant particularly in urban roadway facilities. The responsibilities of safety professionals, transportation planners, and decision makers are critical for safe and efficient transportation in the ever-increasing travel demand in urban areas. The purpose of this study was to develop a quantitative safety assessment tool of converting one urban roadway facility type to another with the application of predictive methodology and principles in the HSM.