Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Sai Chand"'
Publikováno v:
IATSS Research, Vol 48, Iss 3, Pp 331-341 (2024)
Determining an appropriate segment length for highway safety evaluations in low- and middle-income countries (LMICs) poses a significant challenge. This study aims to address this issue by recommending a suitable segment length for such evaluations i
Externí odkaz:
https://doaj.org/article/ce31e044e7574601b9725ecf49da58de
Publikováno v:
International Journal of Transportation Science and Technology, Vol 13, Iss , Pp 171-185 (2024)
Connected and automated vehicles (CAVs) have the potential to revolutionise the transportation industry, with a plethora of research already revealing considerable gains in safety, travel time and mobility, as well as reduced congestion and pollution
Externí odkaz:
https://doaj.org/article/838f7748370e4f52b1aafba8a7bf49da
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109769- (2023)
A road network aims to facilitate the movement of commuters and goods in a safe, economical, and efficient way that contributes to growth in the economy. Road traffic incidents (RTIs), such as crashes, vehicle breakdowns, hazards, etc., are unexpecte
Externí odkaz:
https://doaj.org/article/6e95721d261145a9b03f15e1e81191e1
Autor:
Sai Chand Kundurti, Ambuj Sharma
Publikováno v:
Materials Research, Vol 26 (2023)
The structural performance of metallic components is a significant challenge especially when it comes to operating conditions in real-world applications. Friction stir additive manufacturing (FSAM) is a solid-state additive manufacturing (AM) that pr
Externí odkaz:
https://doaj.org/article/e3ace0b398594070b43ad44457008e05
Publikováno v:
International Journal of Transportation Science and Technology, Vol 11, Iss 1, Pp 118-131 (2022)
A substantial part of traffic congestion is triggered by unplanned incidents such as crashes, breakdowns and hazards, reducing road capacity and increasing the delays, pollution, and productivity losses. Previous studies on incident duration have foc
Externí odkaz:
https://doaj.org/article/f5ad6d67ec6043a7a2ee6ae04b913b99
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Measurement(s) autonomous vehicles • disengagement • crashes • reaction times Technology Type(s) manual entry • OpenStreetMap • Google Maps Factor Type(s) temporal interval Sample Characteristic - Location State of California Machine-access
Externí odkaz:
https://doaj.org/article/20f654867e8840da90df75ee2854199b
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0230598 (2020)
Current transportation management systems rely on physical sensors that use traffic volume and queue-lengths. These physical sensors incur significant capital and maintenance costs. The ubiquity of mobile devices has made possible access to accurate
Externí odkaz:
https://doaj.org/article/38ff035eacc54072b1a4d047ad1d8d1f
Publikováno v:
PLoS ONE, Vol 14, Iss 3, p e0212845 (2019)
Road traffic congestion continues to manifest and propagate in cities around the world. The recent technological advancements in intelligent traveler information have a strong influence on the route choice behavior of drivers by enabling them to be m
Externí odkaz:
https://doaj.org/article/5f857123b4454bbda3cef4bed326f054
Publikováno v:
PLoS ONE, Vol 14, Iss 4, p e0215728 (2019)
[This corrects the article DOI: 10.1371/journal.pone.0212845.].
Externí odkaz:
https://doaj.org/article/caf1f51cd5b04ef190dbfa8c10b7fa33
Autor:
Sai Chand
Publikováno v:
Entropy, Vol 23, Iss 2, p 188 (2021)
Predictability is important in decision-making in many fields, including transport. The ill-predictability of time-varying processes poses severe problems for traffic and transport planners. The sources of ill-predictability in traffic phenomena coul
Externí odkaz:
https://doaj.org/article/53072209e65d402bae9b89d2f743dcc8