Microscopic Traffic Flow Properties in Emergency Situations
- 1 January 2013
- journal article
- Published by SAGE Publications in Transportation Research Record: Journal of the Transportation Research Board
- Vol. 2391 (1), 124-132
- https://doi.org/10.3141/2391-12
Abstract
Emergency situations (e.g., evacuations following a disaster) have been shown to affect traffic flow operations substantially. However, the best way to model the adaptation effects in longitudinal driving behavior underlying this impact had not been made clear. Furthermore, the macroscopic consequences of the adaptation effects in longitudinal driving behavior had also not been made clear. This study sought to clarify these modeling issues and macroscopic consequences by estimating parameter values and model performance of the intelligent driver model with the data obtained through a driving simulator study. In addition, this paper presents the results of a case study that used a microscopic simulation program and the parameter values obtained through the estimation of the intelligent driver model. Results show that emergency situations have a substantial influence on parameter values and performance of the intelligent driver model. Furthermore, results show that the adaptation effects represented in parameter values and model performance have a substantial influence on macroscopic flow characteristics. A discussion of results and recommendations for future research are provided.Keywords
This publication has 14 references indexed in Scilit:
- Driving Behavior in Emergency SituationsTransportation Research Record: Journal of the Transportation Research Board, 2012
- Integrated Lane Change Model with Relaxation and SynchronizationTransportation Research Record: Journal of the Transportation Research Board, 2012
- A review on travel behaviour modelling in dynamic traffic simulation models for evacuationsTransportation, 2011
- Enhanced intelligent driver model to access the impact of driving strategies on traffic capacityPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2010
- Generic Calibration Framework for Joint Estimation of Car-Following Models by Using Microscopic DataTransportation Research Record: Journal of the Transportation Research Board, 2010
- National review of hurricane evacuation plans and policies: a comparison and contrast of state practicesTransportation Research Part A: Policy and Practice, 2003
- Congested traffic states in empirical observations and microscopic simulationsPhysical Review E, 2000
- Car following from the driver’s perspectiveTransportation Research Part F: Traffic Psychology and Behaviour, 1999
- Car-following: a historical reviewTransportation Research Part F: Traffic Psychology and Behaviour, 1999
- Phenomenological Study of Dynamical Model of Traffic FlowJournal de Physique I, 1995