• DocumentCode
    2757890
  • Title

    Computational simulation of a macroscopic traffic model for highways in Pakistan

  • Author

    Javed, S. ; Ehsan, N. ; Javed, S.G. ; Sarwar, S.Z. ; Mirza, E.

  • Author_Institution
    Dept. of Eng. Manage., Center for Adv. Studies in Eng., Islamabad, Pakistan
  • fYear
    2010
  • fDate
    2-5 June 2010
  • Firstpage
    1182
  • Lastpage
    1187
  • Abstract
    Traffic congestion on roads is one of the major problems these days. Traffic models play vital role in traffic research and in traffic applications such as prediction of traffic congestion and traffic control. This paper discusses two types of traffic models and further deliberates on macroscopic traffic models. Macroscopic traffic models are aimed at studying the traffic behavior using a continuum approach, where the movement of vehicles exhibits many attributes of fluid motion. In this paper, computational simulations of a macroscopic traffic model are carried out using various model parameters related to traffic situation on Pakistan´s national highways for large scale networkwide applications. Moreover, simulations results revealed a misconception that expansion of roads is a solution for reducing traffic congestion on highways. This paper fulfils an identified need to study traffic models and use them to find solutions of traffic problems in Pakistan.
  • Keywords
    road traffic; Pakistan national highway; computational simulation; continuum approach; large scale networkwide application; macroscopic traffic model; road traffic congestion; traffic behavior; traffic control; Aggregates; Communication system traffic control; Computational modeling; Control systems; Predictive models; Road transportation; Road vehicles; Telecommunication traffic; Traffic control; Vehicle driving; Macroscopic models; Payne Model; traffic simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Innovation and Technology (ICMIT), 2010 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-6565-1
  • Electronic_ISBN
    978-1-4244-6566-8
  • Type

    conf

  • DOI
    10.1109/ICMIT.2010.5492911
  • Filename
    5492911