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Lessons from proving ground experiments to investigate junction control

Lessons from proving ground experiments to investigate junction control
Lessons from proving ground experiments to investigate junction control
An experiment was conducted using the InnovITS proving ground in Nuneaton. Thirty cars with volunteer drivers were asked to drive around a tight closed road circuit causing them to pass repeatedly through a cross-roads junction from all directions. The junction was signalized. In different testruns of the experiment the traffic lights were controlled by either an automated fixed-time system or by a human using remote control. All vehicles in the test were instrumented using GPS and bluetooth. Video footage from two cameras was also recorded. The goal of the experiment was to collect data on the performance of human junction controllers. This was motivated by earlier work indicated that human controllers could perform well at this task in a simulated ‘computer game’ environment. In particular this paper examines some of the issues that arise when trying to simulate an urban road junction in this manner. For example results are presented indicating differences in network performance depending on whether the drivers were instructed to follow a fixed route or a random route of their choice. Thus providing some guidance for maximizing the fidelity of this type of simulation in the future. The paper also presents a detailed analysis of the sensor data and video footage to measure the performance of the junction under the different modes of control.
Box, Simon
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Lees-Miller, J.
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Snowdon, James
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Hammond, James
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Hamilton, Andrew
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Gupta, Shashank
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Wilson, R. Eddie
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Waterson, Ben
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Box, Simon, Lees-Miller, J., Snowdon, James, Hammond, James, Hamilton, Andrew, Gupta, Shashank, Wilson, R. Eddie and Waterson, Ben (2013) Lessons from proving ground experiments to investigate junction control At 16th International IEEE Conference on Intelligent Transport Systems. 06 - 09 Oct 2013.

Box, Simon, Lees-Miller, J., Snowdon, James, Hammond, James, Hamilton, Andrew, Gupta, Shashank, Wilson, R. Eddie and Waterson, Ben (2013) Lessons from proving ground experiments to investigate junction control At 16th International IEEE Conference on Intelligent Transport Systems. 06 - 09 Oct 2013.

Record type: Conference or Workshop Item (Paper)

Abstract

An experiment was conducted using the InnovITS proving ground in Nuneaton. Thirty cars with volunteer drivers were asked to drive around a tight closed road circuit causing them to pass repeatedly through a cross-roads junction from all directions. The junction was signalized. In different testruns of the experiment the traffic lights were controlled by either an automated fixed-time system or by a human using remote control. All vehicles in the test were instrumented using GPS and bluetooth. Video footage from two cameras was also recorded. The goal of the experiment was to collect data on the performance of human junction controllers. This was motivated by earlier work indicated that human controllers could perform well at this task in a simulated ‘computer game’ environment. In particular this paper examines some of the issues that arise when trying to simulate an urban road junction in this manner. For example results are presented indicating differences in network performance depending on whether the drivers were instructed to follow a fixed route or a random route of their choice. Thus providing some guidance for maximizing the fidelity of this type of simulation in the future. The paper also presents a detailed analysis of the sensor data and video footage to measure the performance of the junction under the different modes of control.

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More information

e-pub ahead of print date: October 2013
Venue - Dates: 16th International IEEE Conference on Intelligent Transport Systems, 2013-10-06 - 2013-10-09
Organisations: Transportation Group

Identifiers

Local EPrints ID: 356879
URI: http://eprints.soton.ac.uk/id/eprint/356879
PURE UUID: a5c178db-cf69-4fc5-a698-a23c45550cad
ORCID for Ben Waterson: ORCID iD orcid.org/0000-0001-9817-7119

Catalogue record

Date deposited: 16 Sep 2013 15:37
Last modified: 18 Jul 2017 03:36

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Contributors

Author: Simon Box
Author: J. Lees-Miller
Author: James Snowdon
Author: James Hammond
Author: Andrew Hamilton
Author: Shashank Gupta
Author: R. Eddie Wilson
Author: Ben Waterson ORCID iD

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