Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Moeid Qurashi"'
Autor:
Konstantinos Tsiamasiotis, Emmanouil Chaniotakis, Moeid Qurashi, Hai Jiang, Constantinos Antoniou
Publikováno v:
Smart Cities, Vol 4, Iss 4, Pp 1243-1258 (2021)
Nowadays, the growth of traffic congestion and emissions has led to the emergence of an innovative and sustainable transportation service, called dynamic vanpooling. The main aim of this study is to identify factors affecting the travel behavior of p
Externí odkaz:
https://doaj.org/article/11ea92bd7d9c462b910de1bc4532f395
Publikováno v:
Transportation.
The paper develops a theoretic equilibrium model for ridesplitting markets with specific considerations of origin-destination demand patterns, competition with other transport modes, characteristics of en route matching, and spatial allocation of rid
Publikováno v:
Transportation Research Procedia. 52:380-387
Automated vehicle technology can be beneficial for many aspects of transport, especially, improving traffic flow stability and efficiency. However, the influence of different automated driving styles on traffic efficiency is still not fully understoo
Publikováno v:
Transportation Research Procedia. 52:716-723
Dynamic Traffic Assignment (DTA) models are widely used in transportation system management. Calibration is a crucial step to improve the reliability and the accuracy of DTA models. We present a systematic framework to offline calibrate the supply an
Publikováno v:
Web of Science
In 2022, Ukraine is suffering an invasion which has resulted in acute impacts playing out over time and geography. This paper examines the impact of the ongoing disruption on traffic behavior using analytics as well as zonal-based network models. The
Autor:
Hai Jiang, Emmanouil Chaniotakis, Konstantinos Tsiamasiotis, Constantinos Antoniou, Moeid Qurashi
Publikováno v:
Smart Cities
Volume 4
Issue 4
Pages 66-1258
Smart Cities, Vol 4, Iss 66, Pp 1243-1258 (2021)
Volume 4
Issue 4
Pages 66-1258
Smart Cities, Vol 4, Iss 66, Pp 1243-1258 (2021)
Nowadays, the growth of traffic congestion and emissions has led to the emergence of an innovative and sustainable transportation service, called dynamic vanpooling. The main aim of this study is to identify factors affecting the travel behavior of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::099d7d1170d7d09e30f7cce8c700737d
https://mediatum.ub.tum.de/doc/1689525/document.pdf
https://mediatum.ub.tum.de/doc/1689525/document.pdf
Publikováno v:
Frontiers in Future Transportation
Dynamic Traffic Assignment (DTA) models represent fundamental tools to forecast traffic flows on road networks, assessing the effects of traffic management and transport policies. As biased models lead to incorrect predictions, which can cause inaccu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7a31cd97e4ec2505e4b9b65345ace96
https://mediatum.ub.tum.de/1689361
https://mediatum.ub.tum.de/1689361
Publikováno v:
Transportation Research Procedia, 38, 462-481. Amsterdam, Netherlands: Elsevier (2019).
Transportation Research Procedia
Transportation Research Part B: Methodological
Transportation Research Procedia
Transportation Research Part B: Methodological
Time-dependent Origin-Destination (OD) demand flows are fundamental inputs for Dynamic Traffic Assignment (DTA) systems and real-time traffic management. This work introduces a novel state-space framework to estimate these demand flows in an online c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1b4effb834dc79081604f0d8bef333b
https://mediatum.ub.tum.de/1514935
https://mediatum.ub.tum.de/1514935
Autor:
Moeid Qurashi
This thesis provides an alternate online calibration approach for dynamic traffic as- signment (DTA) model. This approach has been used so far to estimate the OD demand and can be extended for other supply and demand parameters. The purpose of online
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::d9b3c3d32dbd220d3e2c4d7e4ed600ac
https://mediatum.ub.tum.de/1442080
https://mediatum.ub.tum.de/1442080
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8319ed6dfd1c15e84c822c5b8f969362