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Lan flow distribution of a long continuous highway

Lan flow distribution of a long continuous highway

Xiao, Chongzi, Chun, Fushao, Meng, Meng ORCID: 0000-0001-7240-6454, Wang, Pinxi and Wang, Bobin (2014) Lan flow distribution of a long continuous highway. European Transport / Trasporti Europei, 56 (6). pp. 1-16. ISSN 1825-3997

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Abstract

The promotion of short sea shipping (SSS) aims at providing a more sustainable model of freight. The data from 13 detectors located on the West Side Highway with two lanes in each direction are used, and the smooth curves of the difference between the volume ratio of the median lane and the shoulder lane is applied to analyzed the influenced lane flow distribution (LFD) in this paper. It is found that LFD can be deeply influenced by highway geometric characteristics, and Long Straight Segment of highway can lead to a high ultilization of the median lane. It also finds that high on-ramp volume can increase the ultilization of the median lane. It also finds that high on-ramp volume can increase the ultilization of the shoulder lane downstream and make high speed vehicles upstream in the shoulder lane choose to slow down to pass the merging area instead of changing lane to pass. The field data used in the paper also reveals that vehicles sometimes prefer to use a specific lane at night and lead to an empty lane adjacent, which is caused by speed perturbation and dark night and can last for hours or even all night. In addition, data of daytime and nighttime are compared, and finds that there is no different of LFD of two or three lanes highway.

Item Type: Article
Uncontrolled Keywords: lane flow distribution; geometric characteristics; on-ramp volume; nighttime
Subjects: H Social Sciences > HE Transportation and Communications
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Connected Cities Research Group
Faculty of Business > Department of Systems Management & Strategy
Last Modified: 11 Feb 2019 16:06
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/22404

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