Enabling the use of a planning agent for urban traffic management via enriched and integrated urban data

Antoniou, G., Batsakis, S., Davies, J., Duke, A., McCluskey, T.L., Peytchev, E. ORCID: 0000-0001-5256-4383, Tachmazidis, I. and Vallati, M., 2019. Enabling the use of a planning agent for urban traffic management via enriched and integrated urban data. Transportation Research Part C: Emerging Technologies, 98, pp. 284-297. ISSN 0968-090X

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Abstract

Improving a city’s infrastructure is seen as a crucial part of its sustainability, leading to efficiencies and opportunities driven by technology integration. One significant step is to support the integration and enrichment of a broad variety of data, often using state of the art linked data approaches. Among the many advantages of such enrichment is that this may enable the use of intelligent processes to autonomously manage urban facilities such as traffic signal controls.

In this paper we document an attempt to integrate sets of sensor and historical data using a data hub and a set of ontologies for the data. We argue that access to such high level integrated data sources leads to the enhancement of the capabilities of an urban transport operator. We demonstrate this by documenting the development of a planning agent which uses such data as inputs in the form of logic statements, and when given traffic goals to achieve, outputs complex traffic signal strategies which help transport operators deal with exceptional events such as road closures or road traffic saturation. The aim is to create an autonomous agent which reacts to commands from transport operators in the face of exceptional events involving saturated roads, and creates, executes and monitors plans to deal with the effects of such events. We evaluate the intelligent agent in a region of a large urban area, under the direction of urban transport operators.

Item Type: Journal article
Publication Title: Transportation Research Part C: Emerging Technologies
Creators: Antoniou, G., Batsakis, S., Davies, J., Duke, A., McCluskey, T.L., Peytchev, E., Tachmazidis, I. and Vallati, M.
Publisher: Pergamon Press
Date: 2019
Volume: 98
ISSN: 0968-090X
Identifiers:
NumberType
10.1016/j.trc.2018.12.005DOI
S0968090X18317911Publisher Item Identifier
Divisions: Schools > School of Science and Technology
Depositing User: Jonathan Gallacher
Date Added: 22 Feb 2019 11:17
Last Modified: 20 Dec 2019 03:00
URI: http://irep.ntu.ac.uk/id/eprint/35795

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