Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Boniphace Kutela"'
Publikováno v:
International Journal of Transportation Science and Technology, Vol 14, Iss , Pp 42-56 (2024)
Left turn traffic at unsignalized T-intersection on undivided rural two-lane high-speed highways poses both operational and safety challenges. More complexities are faced by through drivers in the same direction as the stopped or slowed down left-tur
Externí odkaz:
https://doaj.org/article/1a7d8a10eae044138f5f6365181f9a7e
Autor:
Frank Ngeni, Boniphace Kutela, Tumlumbe Juliana Chengula, Cuthbert Ruseruka, Hannah Musau, Norris Novat, Debbie Aisiana Indah, Sarah Kasomi
Publikováno v:
Machine Learning with Applications, Vol 17, Iss , Pp 100582- (2024)
Bike-sharing systems have grown in popularity in metropolitan areas, providing a handy and environmentally friendly transportation choice for commuters and visitors alike. As demand for bike-sharing programs grows, efficient capacity planning becomes
Externí odkaz:
https://doaj.org/article/14ff9834c3c741c4a76b6aa0e0272b86
Autor:
Tumlumbe Juliana Chengula, Boniphace Kutela, Norris Novat, Hellen Shita, Abdallah Kinero, Reuben Tamakloe, Sarah Kasomi
Publikováno v:
Machine Learning with Applications, Vol 17, Iss , Pp 100574- (2024)
Scooters have gained widespread popularity in recent years due to their accessibility and affordability, but safety concerns persist due to the vulnerability of riders. Researchers are actively investigating the safety implications associated with sc
Externí odkaz:
https://doaj.org/article/3f9813f5bb0648c19da281d414c481d7
Autor:
Boniphace Kutela, Hamza Mashoor Mustafa Bani Khalaf, Meshack Mihayo, Emmanuel Kidando, Angela E. Kitali
Publikováno v:
Sustainable Futures, Vol 8, Iss , Pp 100274- (2024)
This study applied Negative Binomial models to examine the social-demographic determinants of bike-sharing station capacity. It used social-demographic data from Smart Location Database and over 7,000 bike-sharing stations located in the United State
Externí odkaz:
https://doaj.org/article/7ae1c74011774107a9fe1557a11a9a2a
Publikováno v:
International Journal of Transportation Science and Technology, Vol 12, Iss 4, Pp 996-1005 (2023)
In recent years, traffic safety researchers have attempted to separate single-vehicle and multi-vehicle crashes when analyzing crash severity, considering the significant differences in the mechanism of occurrence of the two crash types. However, reg
Externí odkaz:
https://doaj.org/article/a721f8576af64fb7acccff8aa3e50ac2
Publikováno v:
Urban, Planning and Transport Research, Vol 11, Iss 1 (2023)
ABSTRACTShared-use paths (SUPs) are rapidly growing in popularity worldwide as dedicated off-street paths that are shared by non-motorists. SUPS are becoming popular for pedestrians, inline skaters, roller skaters, skateboarders, wheelchair users, an
Externí odkaz:
https://doaj.org/article/7255e124c7ac40fb9836cbd00763ad25
Publikováno v:
Traffic Safety Research, Vol 4 (2023)
Autonomous vehicles (AVs) parking has been a subject of interest from various researchers; however, the focus has been on the parking demand, algorithm, and policies, while the safety aspect has received less attention, perhaps due to the lack of AV
Externí odkaz:
https://doaj.org/article/f4dc5ba0d44343b48f84f98dbb6c0184
Autor:
Boniphace Kutela
Publikováno v:
Journal of Traffic and Transportation Engineering (English ed. Online), Vol 9, Iss 4, Pp 666-675 (2022)
The drivers' yielding distance to pedestrians at midblock crosswalks affects pedestrians' perceived safety. This distance can be influenced by either crosswalk-related or non-crosswalk. In most cases, crosswalk-related features are readily available
Externí odkaz:
https://doaj.org/article/035071d0e29941d6a547f6433422e7c9
Publikováno v:
International Journal of Information Management Data Insights, Vol 2, Iss 2, Pp 100123- (2022)
Business entities utilize multiple languages on social media for marketing, promotions, and communication. The impact of utilizing one language over the other on engagements has not been well explored. This study applied a regression-text mining appr
Externí odkaz:
https://doaj.org/article/04c0d24e5f7c4a68b94733b8c6d87098
Publikováno v:
Journal of Safety Research. 84:251-260