Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sohani Liyanage"'
Publikováno v:
Journal of Urban Management, Vol 11, Iss 3, Pp 365-380 (2022)
Accurate short-term forecasting of public transport demand is essential for the operation of on-demand public transport. Knowing where and when future demands for travel are expected allows operators to adjust timetables quickly, which helps improve
Externí odkaz:
https://doaj.org/article/bb1d659899e8486795b3c56195ac85e7
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:7721-7732
Publikováno v:
Cities (London, England). 127
The COVID-19 pandemic continues to have a significant impact on the transport sector worldwide. Lockdown and physical distancing requirements continue to be enforced in many cities leading to severe travel restrictions and travel demand reduction to
Publikováno v:
Future Transportation; Volume 1; Issue 1; Pages: 21-37
Future Transportation
Volume 1
Issue 1
Pages 21-37
Future Transportation
Volume 1
Issue 1
Pages 21-37
Traffic forecasting remains an active area of research in the transport and data science fields. Decision-makers rely on traffic forecasting models for both policy-making and operational management of transport facilities. The wealth of spatial and t
Autor:
Sohani Liyanage, Hussein Dia
Publikováno v:
Sustainability, Vol 12, Iss 4117, p 4117 (2020)
Sustainability
Volume 12
Issue 10
Sustainability
Volume 12
Issue 10
On-demand multi-passenger shared transport options are increasingly being promoted as an influential strategy to reduce traffic congestion and emissions and improve the convenience and travel experience for passengers. These services, often referred
Publikováno v:
Sustainability, Vol 11, Iss 5, p 1262 (2019)
On-demand shared mobility is increasingly being promoted as an influential strategy to address urban transport challenges in large and fast-growing cities. The appeal of this form of transport is largely attributed to its convenience, ease of use, an
Publikováno v:
Sustainability, Vol 11, Iss 1, p 189 (2019)
The rapid pace of developments in Artificial Intelligence (AI) is providing unprecedented opportunities to enhance the performance of different industries and businesses, including the transport sector. The innovations introduced by AI include highly
Publikováno v:
Transportation Research Part D: Transport and Environment. 92:102734
Micro-mobility is increasingly recognised as a promising mode of urban transport, particularly for its potential to reduce private vehicle use for short-distance travel. Despite valuable research contributions that represent fundamental knowledge on