考虑交通环境影响的封闭小区开放决策研究

Opening gated community can extend urban road network to some extent and help to alleviate traffic congestion. However, the decision-making approach in the current gated community opening plan is single layer and has not consider the vehicle emission and traffic noise pollution brought to the community after the opening. This paper used the minimum cost function value as the optimization goal and developed a bi-level decision-making model with upper-layer as optimal system cost and lower-layer for user balance. Three decision-making methods were introduced in the model: whether the gated community is open, one-way or two-way travel, and speed limit on the road. The genetic algorithm was used to solve the upper-layer model and the Frank-Wolfe algorithm was used to solve the lower-layer model. The validation analysis of the model shows that the relative deviation of the optimal solution cost value obtained from the model is 0.67%, and the average year-on-year cost saving is 11.8%. The comparative analysis shows that the reasonable setting of three decision-making methods for the opening of gated community can reduce the travel time and detour distance of vehicles, thereby reduce the travel cost and the additional cost considering the impact on the environment. A relatively high posted speed limit helps to reduce the total travel cost.