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Developing an open-source platform for the evaluation of intelligent traffic control algorithms

Developing an open-source platform for the evaluation of intelligent traffic control algorithms
Developing an open-source platform for the evaluation of intelligent traffic control algorithms
Intersection management is a key component of road transport systems. Envisaging a new age of road transport systems accommodating intelligent, connected, and autonomous vehicles, many novel intersection control algorithms have been proposed in the literature. These algorithms are often implemented using bespoke software and tested over custom built network models because of their complexity and the lack of freely accessible software tools. This in turn makes them difficult to evaluate and benchmark.
To solve this issue, in this paper, we present the Traffic Control Test Bed project, the objective of which is to develop an open source microsimulation platform for the evaluation of intersection control algorithms. The platform provides a library of road network models together with an intuitive synthetic road network generator for user-defined layouts. It facilitates and streamlines the parallel execution of simulations. Outputs and performance indicators are monitored and visualised by the platform both during runtime and at post processing stage. We demonstrate the usage of the platform with a case study evaluating two simple signal optimisation methods. As well as being an arena for traffic control algorithms, the open source property of the platform also invites contributions from the wider research community to improve execution validity and efficiency of traffic control systems.
miscroscopic simulation, open source, intersection management, traffic control
Gao, Bo
482f6818-e33b-4fb7-86e3-1cf187a683e5
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072
Tsotskas, Christos
0d7fa1c2-5a54-4eb8-a55e-b219397f213c
Franco, Patrizia
4d4cc47c-a002-4a8e-93f8-4dc827de796a
Box, Simon
2bc3f3c9-514a-41b8-bd55-a8b34fd11113
Gao, Bo
482f6818-e33b-4fb7-86e3-1cf187a683e5
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072
Tsotskas, Christos
0d7fa1c2-5a54-4eb8-a55e-b219397f213c
Franco, Patrizia
4d4cc47c-a002-4a8e-93f8-4dc827de796a
Box, Simon
2bc3f3c9-514a-41b8-bd55-a8b34fd11113

Gao, Bo, Anvari, Bani, Tsotskas, Christos, Franco, Patrizia and Box, Simon (2017) Developing an open-source platform for the evaluation of intelligent traffic control algorithms. Transport Research Arena 2018, Reed Messe Wien Congress Center, Vienna, Austria. 16 - 19 Apr 2018. (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

Intersection management is a key component of road transport systems. Envisaging a new age of road transport systems accommodating intelligent, connected, and autonomous vehicles, many novel intersection control algorithms have been proposed in the literature. These algorithms are often implemented using bespoke software and tested over custom built network models because of their complexity and the lack of freely accessible software tools. This in turn makes them difficult to evaluate and benchmark.
To solve this issue, in this paper, we present the Traffic Control Test Bed project, the objective of which is to develop an open source microsimulation platform for the evaluation of intersection control algorithms. The platform provides a library of road network models together with an intuitive synthetic road network generator for user-defined layouts. It facilitates and streamlines the parallel execution of simulations. Outputs and performance indicators are monitored and visualised by the platform both during runtime and at post processing stage. We demonstrate the usage of the platform with a case study evaluating two simple signal optimisation methods. As well as being an arena for traffic control algorithms, the open source property of the platform also invites contributions from the wider research community to improve execution validity and efficiency of traffic control systems.

Text
TRA2018_11350_gao - Accepted Manuscript
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More information

Accepted/In Press date: 4 December 2017
Venue - Dates: Transport Research Arena 2018, Reed Messe Wien Congress Center, Vienna, Austria, 2018-04-16 - 2018-04-19
Keywords: miscroscopic simulation, open source, intersection management, traffic control

Identifiers

Local EPrints ID: 416599
URI: http://eprints.soton.ac.uk/id/eprint/416599
PURE UUID: dc5be1b6-3f36-4e8f-b1aa-71b6915d3f7a
ORCID for Bani Anvari: ORCID iD orcid.org/0000-0001-7916-7636

Catalogue record

Date deposited: 03 Jan 2018 17:30
Last modified: 16 Mar 2024 06:03

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Contributors

Author: Bo Gao
Author: Bani Anvari ORCID iD
Author: Christos Tsotskas
Author: Patrizia Franco
Author: Simon Box

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