An integrative framework for traffic telematics web services

Osman, T ORCID logoORCID: https://orcid.org/0000-0001-8781-2658, Serra, M, Delode, O, Peytchev, E ORCID logoORCID: https://orcid.org/0000-0001-5256-4383 and Huet, T, 2005. An integrative framework for traffic telematics web services. Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, pp. 375-380. ISSN 1027-2666

Full text not available from this repository.

Abstract

Prompt access to traffic and travel information allows road users to choose the appropriate mode of transport (private car, various public transports) and thus ease the pressure on the congested city roads. In this paper we investigate the use of the Web Services technology to expose traffic telematics applications to the travelling public. We developed several traffic telematics Web Services and then composed them into an integrative framework that advises users on the appropriate mode of transport for their specific journeys. Two approaches were investigated for Web services integration: The first relies on manually programming the integration middleware to compose a complex journey advice service from the basic Web Services. The second utilizes BPEL (Business Process Execution Language) to compose the execution flow of the integrated services at the Web Services description (WSDL) level. The performance of the resultant service was evaluated to determine the optimal selection criteria for each approach

Item Type: Journal article
Publication Title: Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks
Creators: Osman, T., Serra, M., Delode, O., Peytchev, E. and Huet, T.
Publisher: Acta Press
Place of Publication: Anaheim, CA, United States
Date: 2005
ISSN: 1027-2666
Divisions: Schools > School of Science and Technology
Record created by: EPrints Services
Date Added: 09 Oct 2015 10:03
Last Modified: 09 Jun 2017 13:17
URI: https://irep.ntu.ac.uk/id/eprint/7014

Actions (login required)

Edit View Edit View

Statistics

Views

Views per month over past year

Downloads

Downloads per month over past year