Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Adu-Gyamfi, Yaw"'
The Pavement Condition Index (PCI) is a widely used metric for evaluating pavement performance based on the type, extent and severity of distresses detected on a pavement surface. In recent times, significant progress has been made in utilizing deep-
Externí odkaz:
http://arxiv.org/abs/2310.08538
Real-time pavement condition monitoring provides highway agencies with timely and accurate information that could form the basis of pavement maintenance and rehabilitation policies. Existing technologies rely heavily on manual data processing, are ex
Externí odkaz:
http://arxiv.org/abs/2310.05321
Autor:
Adu-Gyamfi, Kojo Konadu, Ahmadi-Dehrashid, Karo, Adu-Gyamfi, Yaw Okyere, Gunaratne, Pujitha, Sharma, Anuj
MobiScout is an iOS software that monitors users' driving habits and physiological conditions while on the road. The Mobiscout app was created to provide a low-cost next-generation data collection and analysis solution for naturalistic driving studie
Externí odkaz:
http://arxiv.org/abs/2308.05698
Real-time traffic and sensor data from connected vehicles have the potential to provide insights that will lead to the immediate benefit of efficient management of the transportation infrastructure and related adjacent services. However, the growth o
Externí odkaz:
http://arxiv.org/abs/2305.07454
Identifying unusual driving behaviors exhibited by drivers during driving is essential for understanding driver behavior and the underlying causes of crashes. Previous studies have primarily approached this problem as a classification task, assuming
Externí odkaz:
http://arxiv.org/abs/2304.08261
Traffic safety is a major global concern. Helmet usage is a key factor in preventing head injuries and fatalities caused by motorcycle accidents. However, helmet usage violations continue to be a significant problem. To identify such violations, auto
Externí odkaz:
http://arxiv.org/abs/2304.08256
The most common type of accident on the road is a rear-end crash. These crashes have a significant negative impact on traffic flow and are frequently fatal. To gain a more practical understanding of these scenarios, it is necessary to accurately mode
Externí odkaz:
http://arxiv.org/abs/2301.09315
Because traffic characteristics display stochastic nonlinear spatiotemporal dependencies, traffic prediction is a challenging task. In this paper develop a graph convolution gated recurrent unit (GC GRU N) network to extract the essential Spatio temp
Externí odkaz:
http://arxiv.org/abs/2211.08541
Autor:
Aboah, Armstrong, Adu-Gyamfi, Yaw, Gursoy, Senem Velipasalar, Merickel, Jennifer, Rizzo, Matt, Sharma, Anuj
The current paper implements a methodology for automatically detecting vehicle maneuvers from vehicle telemetry data under naturalistic driving settings. Previous approaches have treated vehicle maneuver detection as a classification problem, althoug
Externí odkaz:
http://arxiv.org/abs/2211.06463
Autor:
Behzadian, Ashkan, Muturi, Tanner Wambui, Zhang, Tianjie, Kim, Hongmin, Mullins, Amanda, Lu, Yang, Owor, Neema Jasika, Adu-Gyamfi, Yaw, Buttlar, William, Hamed, Majidifard, Aboah, Armstrong, Mensching, David, Robert, Spragg, Corrigan, Matthew, Youtchef, Jack, Eshan, Dave
The Data Science for Pavement Challenge (DSPC) seeks to accelerate the research and development of automated vision systems for pavement condition monitoring and evaluation by providing a platform with benchmarked datasets and codes for teams to inno
Externí odkaz:
http://arxiv.org/abs/2206.04874