Zhang, Y., & Su, R. (2021). An optimization model and traffic light control scheme for heterogeneous traffic systems. Transportation Research Part C: Emerging Technologies, 124, 102911. doi:10.1016/j.trc.2020.102911
Abstract:
In this paper, one type of heterogeneous traffic network, which consists of signalized intersections
and non-signalized ones, is analyzed and modelled with a macroscopic model and logic constraints,
which involves the evolution of the number of vehicles on each link and the leaving flow
dynamics at each intersection. We propose a novel model describing the dynamic behaviors of
such a system and the proposed model is validated via road tests in Singapore traffic network and
simulations in VISSIM. A piecewise linear model is adopted to describe the traffic flow dynamics
at each signalized intersection, while a platooning-like first-in-first-out (FIFO) model is proposed
to depict the dynamics at each non-signalized intersection. A traffic light control problem for a
heterogeneous traffic network is formulated based on the proposed macroscopic model as a mixed
integer programming problem. Simulations indicate that the proposed optimal traffic control
scheme could outperform the fixed-time traffic light control strategy and conventional actuated
traffic light control scheme. Besides, we demonstrate potentials in developing a systematic
planning approach on deciding which traffic intersections require signal control to ensure good
traffic control performance.
License type:
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Funding Info:
There was no specific funding for the research done