EconPapers    
Economics at your fingertips  
 

Analysis of AVCS Maglev's Automated Highway Network Operation

Sang Hyup Lee

Transportation Planning and Technology, 2002, vol. 25, issue 2, 75-101

Abstract: AVCS maglev, which is the synergistic combination of Advanced Vehicle Control Systems and high-speed magnetic levitation technology, would operate on ordinary highways and streets under manual control as well as on instrumented highways (magways) under automatic control. In this paper the important aspects of fully-automated highway network operation of AVCS maglev are investigated, which include mainline longitudinal control, entrance ramp control, speed transition control and peak-period optimization strategy. To select a suitable longitudinal control alternative, block control, vehicle-follower control and point-follower control concepts are investigated. To find an entrance ramp operation strategy, the average delay of a ramp vehicle in position to be merged, the ramp capacities and the ramp queue lengths are calculated. The magway is envisaged to consist of three types of sections - restricted capacity section (RCS), speed transition section (STS) and unrestricted capacity section (UCS). The speed transition section is always located between UCS and RCS to adjust the speeds between these two types of sections. During the speed transition operation it is crucial to ensure stability within the platoon of vehicles operating with small spacings. For this purpose a suitable vehicle-following model is investigated. Lastly, the peak-period optimization strategy to maximize the throughput of a magway system is investigated using a linear programming model.

Date: 2002
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03081060290033195 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:transp:v:25:y:2002:i:2:p:75-101

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GTPT20

DOI: 10.1080/03081060290033195

Access Statistics for this article

Transportation Planning and Technology is currently edited by Dr. David Gillingwater

More articles in Transportation Planning and Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:transp:v:25:y:2002:i:2:p:75-101