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

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.

Exploiting Classical Planning Grounding in Hybrid PDDL+ Planning Engines

“…1. An example of PDDL+ action, process, and event taken from the Urban Traffic Control domain [6], [13].…”

Effective grounding for hybrid planning problems represented in PDDL+

“…Figure 1 An example of PDDL+ action, process, and event taken from the Urban Traffic Control domain model Antoniou et al, 2019) allocated along a timeline that lets the agent achieves the goal from I considering the constraints imposed by D. We will see later what we mean by plan and what we mean by valid plan. More formally: DEFINITION 4 (PDDL+ PLANNING PROBLEM).…”

“…Figure1An example of PDDL+ action, process, and event taken from the Urban Traffic Control domain modelAntoniou et al, 2019) …”

Effective Real-Time Urban Traffic Routing: An Automated Planning Approach

“…Please note that Figure 1 makes explicit reference to a traffic simulator, since we use a simulator for performing the experimental analysis of this work. However, in place of the traffic simulator, data from available sensors can be collected and enhanced (see for instance [17]) and provided as input to the system, and generated routing plans can be communicated to the vehicles via appropriate communication protocols.…”