Under Networking Environment Improved Ant Colony-based Metropolitan Bus Rapid Response, Transport Capacity Optimi-Zation And Evaluation Research

With the continuous improvement of the urban economy and people’s living standards, the traffic pressure of China’s large and medium-sized cities gradually increased. As an important part of the urban systems, urban public transport system could provide essential material conditions to the personnel, material flows within the city system, the imbalance in demand and supply of ur-ban public transport will bring a big impact on the economic and social development of the city. Currently, give priority to the development of urban public transport systems and promot the di-versity of travel demand has been recognized by the majority of scholars, government depart-ments as the most effective way to solve the traffic problems of cities. Therefore, there are signif-icant limitations of traditional public transportation network optimization which only consider the ground bus lines, neglect other public transport, and can not meet the diverse requirements of ur-ban transportation. For the actual public transportation network planning, there is need to consider the various aspects of urban transit systems planning ground transportation, rail transportation. We should take advantage of different types of public transport as a whole, to improve the service performance of the urban public transport system. This paper mainly focuses on the critical theory of urban bus transport network planning and technology, both academic and practical significance are considered. Series of research achievement have been fullfilled in those aspects such as urban bus network traffic forecasting, urban public transportation network optimization research, urban public transit network optimization model and algorithm, evaluation of public transit network optimization effectiveness, etc. The main contents are as follows:(1) Public transport network is the foundation for urban development. On the basis of in-depth analysis on the current research, this paper identifies the resources configuration and optimization of Hefei urban transport system, which should adhere to the principles of both the local adjustment and overall co-ordination. By analyzing the transformation of the urban public transportation network traffic, it can be effectively grasp the corresponding traffic travel rules, thus conducive to the development of rational public transport optimization program based on the actual situation. Through in-depth analysis of the variation, this article focuses on the changes in the transportation system traffic site. For different types of traffic data, Time series forecasting model based on empirical mode decomposition, and support vector machine model based on em-pirical mode decomposition are presented, respectively. Meanwhile, the scope for bus traffic forecasts predicted sequences under different models are determined.(2)Urban public transportation network is the basic and core of urban transit system. Due to the characteristics of urban public transportation network, this paper put forward the ant colony optimization algorithm to public transportation network optimization. By analyzing the characte-ristics and shortcomings of traditional ant colony algorithm, ant colony algorithm based on phe-romone decreasing and ant colony algorithm based semi-dynamic candidate list are proposed. The mixed dijkstra-ant colony optimization algorithm is applied for the corresponding public trans-portation network analysis. The proposed algorithm could solve the shortcomings of traditional ant colony algorithm, and improve the performance of the ant colony algorithm for solving bus route optimization problem.(3) City bus route optimization evaluation performance is critical for determining the effec-tiveness of bus lines laid. Through in-depth analysis of the advantages and disadvantages of do-mestic and international public transportation network evaluation methods, according to the cha-racteristics of different stages for bus lines laid, the corresponding evaluation index is extracted. The evaluation index system can effectively apply to pre-routed bus lines and quantitative as-sessment of the effectiveness of post-operation. Principal component analysis based on hierar-chical clustering is proposed to bus route optimization performance evaluation.(4) Urban public transportation network optimization are not mutually separated parts, there is need to integrate the various processes rational planning of public transport among the entire public transportation network optimization system. And then, the service performance for bus system will be effectively improved. The variation of urban public transport demand is a dynamic process. The development speed of China’s major cities is very fast. For urban public transport planning, there is need to consider the long-term development of the urban public transport sys-tem, the demand changing within a short time frame should also be considered. This paper takes the Hefei city ring bus line optimization as an example. By depth analysis of the situation within a ring road and rail traffic construction, the mixed dijkstra-ant colony optimization algorithm is presented. After that, urban transit systems line network optimization model based on the shortest distance, and urban transit system traffic line network optimization model based on the maximum traffic are established. At last, the data collection, optimization problem solving, and post-alternative evaluation process for the bus route optimization. On the fundamental of pro-posed urban transit network optimization theoretical system, this paper studies the route optimiza-tion within regional levels adjustment methods for Hefei city ring bus line optimization. And the performance evaluations for corresponding set of options are proposed.Finally, the verified example proves the effectiveness of the theoretical system for Urban public transportation network optimization.