With the acceleration of urbanization, developing public transportation is an
important means to alleviate travel pressure and traffic congestion in cities.
Work zones that occupy urban road resources affect normal vehicle operations,
leading to reduced vehicle efficiency. Based on this, the paper conducts
research on traffic flow modeling and simulation analysis for work zones in a
vehicle-road coordination environment. Based on the Gipps model and the SCAT
model, optimizations and improvements were made to the following and
lane-changing rules for three types of vehicles: human-driven vehicles (HVs),
autonomous and connected vehicles (CAVs), and buses. Using cellular automata
theory, it constructs a running model suitable for mixed traffic flow vehicles
in work zones. MATLAB software is utilized to simulate the operation process of
vehicles under work zone scenarios, analyzing changes in traffic flow from two
directions: road geometric conditions (speed limits) and traffic flow states
(volume, vehicle type ratios, etc.). The study analyzes the impact of vehicle
motion behavior on mixed traffic flow under different road scenarios, and
examines the effect of work zones on time-space diagrams. It concludes that, at
the same density, the higher the proportion of CAVs, the lower the probability
of congestion. When the traffic flow is in a free-flow state, the speeds of
vehicles under different speed limit conditions are not the same. When the
traffic density is around 45 veh/km, the traffic volume reaches its maximum. At
the same density, the higher the proportion of CAVs, the greater the overall
traffic flow speed and the higher the capacity of the road section.This research
provides support for the improvement of theories related to traffic flow
operations in work zones under a vehicle-road coordination environment.