Assessment of level of service (LOS) for entrance ramp merging by using HCM US 2000 and HCM US 2010
Congestion is a normal occurrence on the urban Malaysian expressway system, usually associated with areas having entrance ramp, exit ramp and weaving section. A good practice for expressway system can be determined by the efficiency of the traffic operation itself. Thus, this research paper provides...
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2020
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2-s2.0-85086757317 Bakhari N.S.; Adnan M.A.; Tuan Badrol Hisham T.B. Assessment of level of service (LOS) for entrance ramp merging by using HCM US 2000 and HCM US 2010 2020 IOP Conference Series: Earth and Environmental Science 476 1 10.1088/1755-1315/476/1/012065 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086757317&doi=10.1088%2f1755-1315%2f476%2f1%2f012065&partnerID=40&md5=a6925bcd9fd2de2b438a7a4e23b86782 Congestion is a normal occurrence on the urban Malaysian expressway system, usually associated with areas having entrance ramp, exit ramp and weaving section. A good practice for expressway system can be determined by the efficiency of the traffic operation itself. Thus, this research paper provides the assessment of level of service for entrance ramp merging using US HCM 2000; US HCM 2010 and empirical data as the indicator. Study was conducted at KM 12, Grand Sepadu Expressway, Selangor and the data were collected by using TRAX Apollyon Automatic Traffic Counter. An analysis was conducted and the RSME result shows that the plotted data are successfully developed and validated in these studies. © Published under licence by IOP Publishing Ltd. Institute of Physics Publishing 17551307 English Conference paper All Open Access; Gold Open Access |
author |
Bakhari N.S.; Adnan M.A.; Tuan Badrol Hisham T.B. |
spellingShingle |
Bakhari N.S.; Adnan M.A.; Tuan Badrol Hisham T.B. Assessment of level of service (LOS) for entrance ramp merging by using HCM US 2000 and HCM US 2010 |
author_facet |
Bakhari N.S.; Adnan M.A.; Tuan Badrol Hisham T.B. |
author_sort |
Bakhari N.S.; Adnan M.A.; Tuan Badrol Hisham T.B. |
title |
Assessment of level of service (LOS) for entrance ramp merging by using HCM US 2000 and HCM US 2010 |
title_short |
Assessment of level of service (LOS) for entrance ramp merging by using HCM US 2000 and HCM US 2010 |
title_full |
Assessment of level of service (LOS) for entrance ramp merging by using HCM US 2000 and HCM US 2010 |
title_fullStr |
Assessment of level of service (LOS) for entrance ramp merging by using HCM US 2000 and HCM US 2010 |
title_full_unstemmed |
Assessment of level of service (LOS) for entrance ramp merging by using HCM US 2000 and HCM US 2010 |
title_sort |
Assessment of level of service (LOS) for entrance ramp merging by using HCM US 2000 and HCM US 2010 |
publishDate |
2020 |
container_title |
IOP Conference Series: Earth and Environmental Science |
container_volume |
476 |
container_issue |
1 |
doi_str_mv |
10.1088/1755-1315/476/1/012065 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086757317&doi=10.1088%2f1755-1315%2f476%2f1%2f012065&partnerID=40&md5=a6925bcd9fd2de2b438a7a4e23b86782 |
description |
Congestion is a normal occurrence on the urban Malaysian expressway system, usually associated with areas having entrance ramp, exit ramp and weaving section. A good practice for expressway system can be determined by the efficiency of the traffic operation itself. Thus, this research paper provides the assessment of level of service for entrance ramp merging using US HCM 2000; US HCM 2010 and empirical data as the indicator. Study was conducted at KM 12, Grand Sepadu Expressway, Selangor and the data were collected by using TRAX Apollyon Automatic Traffic Counter. An analysis was conducted and the RSME result shows that the plotted data are successfully developed and validated in these studies. © Published under licence by IOP Publishing Ltd. |
publisher |
Institute of Physics Publishing |
issn |
17551307 |
language |
English |
format |
Conference paper |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677898607493120 |