The construction of urban transportation infrastructures on the supply side is
severely limited due to the extensive development of central urban land.
Therefore, optimizing the traffic structure with limited resources is
particularly important. The work used the optimum capacity of the road network
as one of the constraints. Multi-objective linear programming was used to
establish the traffic structure model. The total travel volume, energy
consumption, travel quality, and social cost were selected as the optimization
objectives of the urban transportation structure. The influencing factors of
infrastructure capacity (e.g., total travel demand, optimal capacity of road
network, slow traffic capacity, and parking lot capacity) were selected as the
constraint conditions in optimizing urban transportation structure. The
objective was to develop an optimization model considering the constraints of
urban infrastructure. Finally, the optimal traffic structure was compared with
the actual travel structure using the actual case of Yuexiu District, Guangzhou,
China. Suggestions were provided for optimization.
