Publication:

Automatic evaluation of environmental impacts of Traffic Demand Management Strategies (2009)

Author(s): Bell MC, Galatioto F, Hill G, Mohammad A

    Abstract: This paper describes a new framework being developed at Newcastle, in the context of the EPRSC project MESSAGE (Mobile Environmental Sensing System Across Grid Environments), which is designed to evaluate automatically the impacts on congestion and the environment of TDMS (Traffic Demand Management Strategies). Performance measures will be based on a combination of data from pervasive sensors and legacy systems including SCOOT (Split Cycle Offset Optimisation Technique), traffic detector, roadside and background pollution, noise and meteorological conditions. The proposed framework has been evaluated using a case study area in Gateshead. Analysis and calibration of data from static (located on street furniture) and mobile (in cars) pervasive sensors, called “motes”, will be presented. The validation process will take place within a real-time database, using statistical analysis by comparing mote with precision data. Next the mechanism by which the mote data are used to validate parameters of traffic simulation models (flows, queues, travel times, etc) across the urban network will be shown. The paper continues to elaborate on how the models will interface with the UTMC compliant database infrastructure enabling the evaluation of the urban network performance using the mote data and the models themselves. The systems architecture will be described along with an explanation of how the Gateshead results will be transferred to Leicester and used for the evaluation of the impacts of TDMS implementation. Results presented in this paper will highlight the benefits of pervasive sensors and how they can compliment legacy systems through their flexibility in covering detection gaps in existing urban networks. In this way the proposed new framework will have the capacity to evaluate the changes caused in previously unmonitored areas, resulting in more realistic assessments of the impacts of transport policies and strategies.

    Notes: 03A Environment (II)

      • Date: January 2009
      • Conference Name: 41st Annual UTSG Conference
      • Publisher: Universities' Transport Study Group
      • Publication type: Conference Proceedings (inc. abstract)
      • Bibliographic status: Published

      Keywords: Automatic analysis framework, model validation, quantifying impacts

      Staff

      Professor Margaret Carol Bell CBE
      Science City Professor of Transport and the Environment

      Dr Fabio Galatioto
      School and Faculty Research Fellow (Transport)