TRCLC 16-6
Vehicle-to-Device (V2D) Communications: Readiness of the Technology and Potential Applications for People with Disability
PIs: Ala Al-Fuqaha, Jun-Seok Oh, Valerian Kwigizile
Project Start and End Dates: 9/1/2016 – 12/31/2017
Summary:
The goal of this research is to conduct extensive simulation and experimental studies to assess the efficacies of utilizing D2D communications technologies in transportation scenarios focused around pedestrians and bicyclists. Specifically, we design, develop, and experiment with Smart Cone and Smart Cane systems to evaluate the readiness of D2D technologies to support transportation applications.
Problem:
This research is focused on assessing the suitability of D2D technologies for transportation applications. Specifically, we focus on two case studies:
- Smart Cone
Often, work zones on highways require entering vehicles to reduce their speeds and make lane changes because of lane closures. At this time, traffic congestion and conflicts are caused by driver maneuvering at work zones and nearby highways sections. In this paper, we address traffic management strategies that utilize D2D communications to resolve this problem at work zones.
- Smart Cane
Blind and visually impaired pedestrians have limited mobility options, and they rely heavily on walking and transit for their transportation needs. One of the major issues for these pedestrians is crossing intersections. Accessible Pedestrian Signal (APS), as a mean of helping their intersection crossings, was introduced in the United States as early as 1920. The most recent type of APS is the beaconing APS which has shown improvements in road crossing abilities for blind pedestrians although it has many drawbacks. This study developed a cane to enhance safety and crossing abilities of visually impaired pedestrians at intersections.
- Smart Cone
Highway work zones reduce highway capacities and often lead to severe traffic congestions and crashes. Therefore, there is a need for traffic management systems that strive to adjust the traffic condition at work zones. This study introduces the smart cone system which actively delivers traffic information and recommendations for driving maneuvers to drivers at work zones. This system is based on the collection of real-time traffic data about nearby road segments. Based on the traffic condition inferred from the collected data, the system intelligently produces recommendations on driving maneuvers to mitigate the long-term negative impacts of the work zone. The proposed smart cone system can help in enhancing the traffic conditions in terms of operational efficiency and traffic safety at work zones.
- Smart Cane