Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Srinivas Peeta"'
Autor:
Chaojie Wang, Srinivas Peeta
Publikováno v:
Sensors, Vol 24, Iss 2, p 542 (2024)
Traffic congestion results from the spatio-temporal imbalance of demand and supply. With the advances in connected technologies, incentive mechanisms for collaborative routing have the potential to provide behavior-consistent solutions to traffic con
Externí odkaz:
https://doaj.org/article/486bc7fa37ba4aa6ac6d7ab2fd0a5f8b
Publikováno v:
Journal of Advanced Transportation, Vol 2023 (2023)
The widespread adoption of electric vehicles (EVs) can help attain economic and environmental sustainability by reducing oil dependency and greenhouse gas emissions. However, several issues need to be addressed before EVs can become a popular vehicle
Externí odkaz:
https://doaj.org/article/60346f835c354c5890f4b2565aff421b
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12678 (2022)
Intersections in the urban network are potential sources of traffic flow inefficiency. Existing intersection control mostly adopts the “cross” flow pattern model, while the use of the roundabout circular flow pattern is rather sparse. Connected a
Externí odkaz:
https://doaj.org/article/2c5abbd5e9f746ad881d0478d074fc16
Autor:
Mohammad Miralinaghi, Srinivas Peeta
Publikováno v:
Frontiers in Built Environment, Vol 4 (2018)
This study focuses on a tradable credit scheme (TCS)-based multi-period equilibrium modeling framework to address the planning problem of a central authority which seeks to minimize the vehicular emissions in a traffic network over a planning horizon
Externí odkaz:
https://doaj.org/article/d459b746fc2f4029a7a99e2f3c901bc0
Publikováno v:
International Journal of Transportation Science and Technology, Vol 4, Iss 3, Pp 229-256 (2015)
Energy issues in transportation systems have garnered increasing attention recently. This study proposes a systematic methodology for policy-makers to minimize energy consumption in multimodal intercity transportation systems considering suppliers’
Externí odkaz:
https://doaj.org/article/ba5ca1bf298541058d7de5d2a2c961a8
Publikováno v:
Sensors, Vol 15, Iss 9, Pp 24191-24213 (2015)
To improve the effectiveness and robustness of fatigue driving recognition, a self-adaptive dynamic recognition model is proposed that incorporates information from multiple sources and involves two sequential levels of fusion, constructed at the fea
Externí odkaz:
https://doaj.org/article/ec5841f4e90a4bbf8549ec758f2ac5fe
Publikováno v:
International Journal of Transportation Science and Technology, Vol 3, Iss 3, Pp 193-210 (2014)
This study contributes new insights in the debate over the viability of high-speed rail (HSR) in the United States and the value proposition for government investment. The modeling focus of this study is two-fold, and the modeling approach makes a ca
Externí odkaz:
https://doaj.org/article/d6475297bc2e4cf0b285240fc51a6c99
Publikováno v:
International Journal of Transportation Science and Technology, Vol 3, Iss 2, Pp 129-148 (2014)
With increasing demand and rising fuel costs, both travel time and cost of current intercity passenger transportation modes are becoming increasingly relevant. Around the world, highspeed rail (HSR) is seen as a way to alleviate demand on highways an
Externí odkaz:
https://doaj.org/article/4df7044d1cb24219938292eb9318f7b4
Publikováno v:
Journal of Transport and Land Use, Vol 10, Iss 1 (2015)
Due to the impact of urban sprawl, the need for responsible property investing, and the emerging evidence supporting the linkage between walkable environment (in terms of built environment and walk accessibility) and residential property value, there
Externí odkaz:
https://doaj.org/article/8d23cbcb16b14a77857e583aecb3a92e
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 8:2661-2673
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28fa3a2e5166fd0fcc6556dac1cebeeb
https://doi.org/10.1109/tiv.2023.3257962
https://doi.org/10.1109/tiv.2023.3257962