Research Article Open Access

A Hybrid Approach to Process Planning: The Urban Traffic Controller Example

Jimoh Falilat Olaitan1, Simon Parkinson1 and Thomas Leo McCluskey2
  • 1 University of Huddersfield, United Kingdom
  • 2 University of Huddersfield, Queensgate, United Kingdom


Automated planning and scheduling are increasingly utilised in solving evsery day planning task. Planning in domains with continuous numeric changes present certain limitations and tremendous challenges to advanced planning algorithms. There are many pertinent examples to the engineering community; however, a case study is provided through the urban traffic controller domain. This paper introduce a novel hybrid approach to state-space planning systems involving a continuous process which can be utilised in several applications. We explore Model Predictive Control (MPC) and explain how it can be introduce into planning with domains containing mixed discrete and continuous state variables. This preserves the numerous benefits of AI Planning approach by the use of explicit reasoning and declarative modelling. It also leverages on the capability of MPC to manage numeric computation and control of continuous processes. The hybrid approach was tested on an urban traffic control network to ascertain it practicability on a continuous domain; the results show its potential to control and optimise heavy volumes of traffic.

Journal of Computer Science
Volume 13 No. 8, 2017, 257-274


Submitted On: 2 January 2017 Published On: 23 August 2017

How to Cite: Olaitan, J. F., Parkinson, S. & McCluskey, T. L. (2017). A Hybrid Approach to Process Planning: The Urban Traffic Controller Example. Journal of Computer Science, 13(8), 257-274.

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  • Automated Planning
  • Model Predictive Control
  • Urban Traffic Control