Zobrazeno 1 - 10
of 948
pro vyhledávání: '"Rakha, Hesham"'
This paper introduces a robust optimal green light speed advisory system for fixed and actuated traffic signals when a probability distribution is provided. These distributions represent the domain of possible switching times from the Signal Phasing
Externí odkaz:
http://arxiv.org/abs/2208.13709
Autor:
Ashqer, Mujahid I., Ashqar, Huthaifa I., Elhenawy, Mohammed, Almannaa, Mohammed, Aljamal, Mohammad A., Rakha, Hesham A., Bikdash, Marwan
This paper presents a novel method to compute various measures of effectiveness (MOEs) at a signalized intersection using vehicle trajectory data collected by flying drones. MOEs are key parameters in determining the quality of service at signalized
Externí odkaz:
http://arxiv.org/abs/2207.08025
With the rapid development of communication technology, connected vehicles (CV) have the potential, through the sharing of data, to enhance vehicle safety and reduce vehicle energy consumption and emissions. Numerous research efforts are quantifying
Externí odkaz:
http://arxiv.org/abs/2202.01675
Publikováno v:
In Transportation Research Part C August 2024 165
Publikováno v:
In Applied Energy 15 June 2024 364
Work zone safety is influenced by many risk factors. Consequently, a comprehensive knowledge of the risk factors identified from crash data analysis becomes critical in reducing risk levels and preventing severe crashes in work zones. This study focu
Externí odkaz:
http://arxiv.org/abs/2104.06561
Autor:
Dubljević, Veljko, List, George F., Milojevich, Jovan, Ajmeri, Nirav, Bauer, William, Singh, Munindar P., Bardaka, Eleni, Birkland, Thomas, Edwards, Charles, Mayer, Roger, Muntean, Ioan, Powers, Thomas, Rakha, Hesham, Ricks, Vance, Samandar, M. Shoaib
The expansion of artificial intelligence (AI) and autonomous systems has shown the potential to generate enormous social good while also raising serious ethical and safety concerns. AI technology is increasingly adopted in transportation. A survey of
Externí odkaz:
http://arxiv.org/abs/2102.02928
Publikováno v:
In Applied Energy 15 February 2024 356
The paper develops models for modeling the availability of bikes in the San Francisco Bay Area Bike Share System applying machine learning at two levels: network and station. Investigating BSSs at the station-level is the full problem that would prov
Externí odkaz:
http://arxiv.org/abs/2009.09367