Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Anu P. Alex"'
Publikováno v:
Archives of Transport, Vol 62, Iss 2, Pp 39-48 (2022)
Mode choice analysis of school trips becomes important due to the fact that these trips contribute to the second largest share of peak hour traffic. This scenario is more relevant in India, which has almost 265 million students enrolled in different
Externí odkaz:
https://doaj.org/article/5d884587965444959c72fe29fd706e17
Publikováno v:
Archives of Transport, Vol 53, Iss 1, Pp 37-52 (2020)
Travel Demand Management (TDM) can be considered as the most viable option to manage the increasing traffic demand by controlling excessive usage of personalized vehicles. TDM provides expanded options to manage existing travel demand by redistributi
Externí odkaz:
https://doaj.org/article/eb5c2f97af174fcd9e9ccc4d87692237
Publikováno v:
Archives of Transport, Vol 51, Iss 3, Pp 7-19 (2019)
Travel demand models are required by transportation planners to predict the travel behaviour of people with different socio-economic characteristics. Travel behaviour of students act as an essential component of travel demand modelling. This behaviou
Externí odkaz:
https://doaj.org/article/ca0dea52930542b5a4554c24ff7acf70
Autor:
Anu P. Alex
Publikováno v:
European Transport/Trasporti Europei. :1-15
Activity based travel demand modelling involves lot of uncertainty due to the complex and varying decision making behaviour of each individual. This study contributes to the literature by assessing the suitability of Support Vector Machine (SVM) in m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96536028b8db161f7ed6b8bfb0d2f7c7
https://doi.org/10.48295/et.2021.82.2
https://doi.org/10.48295/et.2021.82.2
Publikováno v:
Environment, Development and Sustainability.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0165adfb9ecc68695b136a79d59c330
https://doi.org/10.1007/s10668-022-02466-5
https://doi.org/10.1007/s10668-022-02466-5
Publikováno v:
Journal of The Institution of Engineers (India): Series A. 102:279-292
The demand for an institution bus service varies every year, and it affects the efficiency if the service remains static. This necessitates the need to develop a procedure to identify optimum bus stops and routes to incorporate the annual variation i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3d2feb3de077f919d49acc5e9757d0e
https://doi.org/10.1007/s40030-020-00493-x
https://doi.org/10.1007/s40030-020-00493-x
Publikováno v:
Archives of Transport, Vol 51, Iss 3, Pp 7-19 (2019)
Travel demand models are required by transportation planners to predict the travel behaviour of people with different socio-economic characteristics. Travel behaviour of students act as an essential component of travel demand modelling. This behaviou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f2f9a4f9c553dda906b8c8815a15e54
http://aot.publisherspanel.com/gicid/pdf/01.3001.0013.6159
http://aot.publisherspanel.com/gicid/pdf/01.3001.0013.6159
Publikováno v:
INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING. 6:378-389
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a361809d49039e09782bfe61158c444c
https://doi.org/10.7708/ijtte.2016.6(4).02
https://doi.org/10.7708/ijtte.2016.6(4).02
Publikováno v:
INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING. 6:77-91
Travel demand models are used to replicate the real world travel demand and to predict the future travel demand. A behavioural oriented approach in travel demand analysis is provided by activity based travel demand modelling and it provides a better
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ba539696165d083a25be8443a6b5ef3
https://doi.org/10.7708/ijtte.2016.6(1).07
https://doi.org/10.7708/ijtte.2016.6(1).07
Publikováno v:
International Journal on Cybernetics & Informatics. 5:183-191
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80472d0bc8a2232d5f5e43f265ec5846
https://doi.org/10.5121/ijci.2016.5117
https://doi.org/10.5121/ijci.2016.5117