Automated Planning for Urban Traffic Management

نویسندگان

  • T. L. McCluskey
  • Mauro Vallati
  • Santiago Franco
چکیده

The global growth in urbanisation increases the demand for services including road transport infrastructure, presenting challenges in terms of mobility. Optimising the exploitation of urban road network, while attempting to minimise the effects of traffic emissions, is a great challenge. SimplyfAI was a UK research council grant funded project which was aimed towards solving air quality problems caused by road traffic emissions. Large cities such as Manchester struggle to meet air quality limits as the range of available traffic management devices is limited. In the study, we investigated the application of linked data to enrich environmental and traffic data feeds, and we used this with automated planning tools to enable traffic to be managed at a region level. The management will have the aim of avoiding air pollution problems before they occur. This demo focuses on the planning component, and in particular the engineering and validation aspects, that were pivotal for the success of the project.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Planning & Scheduling Applications in Urban Traffic Management

Local authorities that manage traffic-related issues in urban areas have to optimise the use of available resources, in order to minimise congestion and delays. In this context, Automated Planning and Scheduling can be fruitfully exploited, in order to provide dynamic plans that help managing the urban road network. In this paper we provide a review of existing planning and scheduling approache...

متن کامل

Comparative Study of Urban Traffic Management in Reducing Accidents in Tehran Using Analytic Hierarchy Process and Delphi Methods

 Comparative Study of Urban Traffic Management in Reducing Accidents in Tehran Using Analytic Hierarchy Process and Delphi Methods Mohammadreza Mehmandar 1, Mohammad Ariana 2 *, Ehsan Khalili 3, Tofigh Mobaderi 4 1 Faculty of Traffic Police, Amin Police University, Tehran, Iran 2 Tehran Traffic Police, Tehran, Iran 3 Department of Control, School of Electrical and Computer Engineering, Isfah...

متن کامل

Self-Management in Urban Traffic Control – an Automated Planning Perspective

Advanced urban traffic control systems are often based on feed-back algorithms. They use road traffic data which has been gathered from a couple of minutes to several years. For instance, current traffic control systems often operate on the basis of adaptive green phases and flexible co-ordination in road (sub) networks based on measured traffic conditions. However, these approaches are still n...

متن کامل

Embedding Automated Planning within Urban Traffic Management Operations

This paper is an experience report on the results of an industry-led collaborative project aimed at automating the control of traffic flowwithin a large city centre. A major focus of the automation was to deal with abnormal or unexpected events such as roadworks, road closures or excessive demand, resulting in periods of saturation of the network within some region of the city. We describe the ...

متن کامل

The SimplyfAI Project: Using AI Planning in Urban Traffic Management or If at First the Representation Does not Work, Try, Try and Try and Again

This paper is an experience report on the results of a collaborative one year feasibility study called “SimplyfAI” funded by Innovate UK. This concerned sourcing and enriching urban traffic data, and using this data as inputs to a system to generate urban traffic strategies in order (primarily) to improve air quality. This paper reports on the development surrounding the AI planning component o...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017