Lobo, Antoneta Xaverina;
(1997)
Automatic Vehicle Location technology: Applications for buses.
Doctoral thesis (Ph.D), UCL (University College London).
Text
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Abstract
A combination of technological advances in systems which track buses and the continuing fall in prices of computing hardware has led to Automatic Vehicle Location (AVL) systems becoming an attractive, affordable proposition for many bus operators. Local authorities are also showing a great deal of interest in this technology since AVL data can be used to drive systems which provide real-time passenger information at bus stops (which are perceived to be a potential source of increasing patronage and also have a high on-street profile). However AVL technology is still relatively new to the bus industry and little research has been carried out as to the potential benefits of these systems with the result that many systems have been bought 'off-the-shelf without consideration as to whether the system could be better with re-specification. Therefore guidelines for system specification have been produced as part of this research as a result of a comparison of the advantages and disadvantages of the various AVL technologies. Although real-time AVL data is being utilised successfully in this country, little attention has been given to the benefits of using non real-time data. This research aims to demonstrate the potential use of non real-time AVL data, such as to identify sections of a bus route which would benefit most from bus priority measures, estimate the passenger arrival rate at stops (when used in conjunction with an on-board patronage survey), improve scheduling and compile punctuality statistics.
Type: | Thesis (Doctoral) |
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Qualification: | Ph.D |
Title: | Automatic Vehicle Location technology: Applications for buses |
Open access status: | An open access version is available from UCL Discovery |
Language: | English |
Additional information: | Thesis digitised by ProQuest |
Keywords: | Applied sciences; Automatic Vehicle Location; Buses; Technology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10101026 |
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