Traffic accident risk assessment with dynamic microsimulation model using range-range rate graphs

Gennady Waizman, Shraga Shoval, Itzhak Benenson

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Analysis of accidents that involve vehicles and pedestrians requires accurate reproduction of the dynamics of the vehicles and pedestrians immediately prior to and during the accident. In many cases, only centimeters and milliseconds separate survival from disaster, particularly when high-speed aggressive drivers and careless pedestrians are involved. In this paper we present a methodology for analyzing the dynamic interaction between drivers in conflict scenarios with pedestrians. We assess the safety of a traffic location's environment with a high-resolution, spatially explicit, dynamic agent-based simulation model – SAFEPED. Based on the resulting data, Range-Range Rate (R-RR) graphs are generated. These graphs provide compact, simple, and objective presentation of the dynamic interaction between vehicles and pedestrians. Significant traffic risk indicators such as Time-To-Collision, acceleration/deceleration rates, and minimal distances between vehicles and pedestrians are easily extracted from the R-RR graphs. These indicators can provide insights on particular traffic scenarios and can assist road planners and developers of traffic safety measures in understanding the dynamic behavior of drivers and pedestrians before and during a conflict scenario.

Original languageEnglish
Pages (from-to)248-262
Number of pages15
JournalAccident Analysis and Prevention
StatePublished - Oct 2018


  • Agent-based
  • Behavior
  • Microsimulation
  • Spatially explicit
  • Vehicular-pedestrian


Dive into the research topics of 'Traffic accident risk assessment with dynamic microsimulation model using range-range rate graphs'. Together they form a unique fingerprint.

Cite this