Highway Traffic Simulations on Multi-Processor Computers

Details

• Creators:
  Hanebutte, U.R. ; Doss, Ezzat ; Tentner, Adrian M.
• Corporate Creators:
  Argonne National Laboratory
• Subject/TRT Terms:
  • Highway traffic
  • Traffic simulation
  • Autonomous intelligent cruise control
  • Computer models
  • Graphical user interfaces
  • Discrete simulation
  • Multiprocessors
• Resource Type:
  Research Paper
• Geographical Coverage:
  United States
• Corporate Publisher:
  Argonne National Laboratory
• Description:
  A computer model has been developed to simulate highway traffic for various degrees of automation with a high degree of fidelity in regard to driver control and vehicle characteristics. The model simulates vehicle maneuvering in a multi-lane highway traffic system and allows for the use of Intelligent Transportation System (ITS) technologies such as an Automated Intelligent Cruise Control (AICC). The structure of the computer model facilitates the use of parallel computers for the highway traffic simulation, since domain decomposition techniques can be applied in a straight forward fashion. In this model, the highway system (i.e., a network of road links) is divided into multiple regions; each region is controlled by a separate link manager residing on an individual processor. A graphical user interface augments the computer model by allowing for real-time interactive simulation control and interaction with each individual vehicle and road side infrastructure element on each link. Average speed and traffic volume data is collected at user-specific loop detector locations. Further, as a measure of safety the so-called Time To Collision (TTC) parameter is being recorded.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/13540/dot_13540_DS1.pdf
• File Type:
  [PDF - 855.60 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:b67cd117f2ed004b59ea5de4b1e607044afb86515c7bd2c83f21634210e561a7d69ff0b5bcd031f34ab95b51f01d5a2d4ceb59d19c0441b94456601b3cf69dd5