ANALYSIS OF CELL TRANSMISSION MODEL FOR TRAFFIC FLOW SIMULATION WITH APPLICATION TO NETWORK TRAFFIC

• Published in: The ANZIAM journal Vol. 63; no. 1; pp. 84 - 99
• Main Authors: MAULANA, A. S., PUDJAPRASETYA, S. R.
• Format: Journal Article
• Language: English
• Published: Cambridge, UK Cambridge University Press 01.01.2021
• Subjects: Communications traffic; Exact solutions; Finite volume method; Flow simulation; Kinematics; Macroscopic models; Rarefaction; Roads & highways; Shock wave propagation; Shock waves; Simulation; Traffic flow; Traffic management; Traffic models; Travel time; junction; method of characteristics; cell transmission model; 35L67; kinematic wave model; 65M06
• ISSN: 1446-1811; 1446-8735
• DOI: 10.1017/S1446181121000080

The cell transmission model (CTM) is a macroscopic model that describes the dynamics of traffic flow over time and space. The effectiveness and accuracy of the CTM are discussed in this paper. First, the CTM formula is recognized as a finite-volume discretization of the kinematic traffic model with a trapezoidal flux function. To validate the constructed scheme, the simulation of shock waves and rarefaction waves as two important elements of traffic dynamics was performed. Adaptation of the CTM for intersecting and splitting cells is discussed. Its implementation on the road segment with traffic influx produces results that are consistent with the analytical solution of the kinematic model. Furthermore, a simulation on a simple road network shows the back and forth propagation of shock waves and rarefaction waves. Our numerical result agrees well with the existing result of Godunov’s finite-volume scheme. In addition, from this accurately proven scheme, we can extract information for the average travel time on a certain route, which is the most important information a traveller needs. It appears from simulations of different scenarios that, depending on the circumstances, a longer route may have a shorter travel time. Finally, there is a discussion on the possible application for traffic management in Indonesia during the Eid al-Fitr exodus.