Optimization of Work Zone Segments on Urban Roads Using Cellular Automata Model in Mixed Traffic

  • Mohit Kumar Singh Department of Civil Engineering, Indian Institute of Technology Delhi, India
  • Gaurav Pandey Department of Civil Engineering, Indian Institute of Technology Delhi, India
  • K Ramachandra Rao Department of Civil Engineering and Transportation Research and Injury Prevention Programme (TRIPP), Indian Institute of Technology Delhi, India

Abstract

Increased delays and reduced speeds in work zones leads to congestion. This can be improved by optimizing the work zone length. The focus of this study is to model work zones using cellular automata model and to find the effects of work zones on traffic flow. The methodology adopted in the study involved creating work-zone on the road by blocking some of the cells and then determining traffic characteristics such as delay and queue lengths for model validation. For this the lateral movement rules of the existing Cellular Automata model were modified in order to replicate the traffic movement near work zones. This model is calibrated and validated using data from work zone observed near a metro rail station in Delhi. From the analysis it was evident that the queue length increased with increase in the length of work zone. Several relationships were tried between delay and work zone length. Among them the rational form was found suitable.

Keywords: heterogeneous traffic, Work zone, Cellular automata, delay, queue, calibration, validation
Published online
2018-01-29
How to Cite
Singh, M., Pandey, G. and Rao, K. R. “Optimization of Work Zone Segments on Urban Roads Using Cellular Automata Model in Mixed Traffic”, Periodica Polytechnica Transportation Engineering. doi: https://doi.org/10.3311/PPtr.9992.
Section
Articles