This project belongs to the field of intelligent transportation, involving transportation engineering, computer data communication, automation integrated systems and other related disciplines.
As a guiding information carrier for the hub space, passenger flow guidance signs can guide users to reach target locations within the extensive hub space.
, minimize the user's invalid stay in the hub. The rapid transfer of passenger flow is of great significance to the hub's transportation function.
Due to the lack of guidance from relevant theories and norms, the passenger transportation hubs built in large cities in my country generally lack systematicness, applicability and timeliness in the design of passenger transportation guidance signs, which affects the integrated function of urban comprehensive passenger transportation hubs. Therefore, it is necessary to proceed based on the distribution and transfer characteristics of the transportation hub, the wayfinding behavior characteristics of pedestrians within the hub and the optimal configuration of guidance signs. Conduct in-depth research on the design theory and optimal configuration of guidance signs in comprehensive transportation hubs to provide theoretical and empirical reference for the research and design of the hub's dynamic and static guidance system.
Innovation points of the project:
(1) Through the investigation of passengers 'guidance information needs, a guidance identification scheme based on passengers' psychology and behavior is proposed. The design process includes the analysis of the functional areas in the station building, the analysis of the flow lines in the station building, and the analysis of the information needs of passengers on different flow lines.
(2) For the first time, it is proposed to guide more passenger flow to follow a reasonable route under the restriction of no omissions or redundancy. Based on the principles of maximizing the induced passenger flow and reasonable guidance paths, an optimization model for selecting decision points for hub guidance signs is proposed. Adaptive genetic algorithm is used to solve the optimal selection model of decision points to find out the optimal position of decision points; this application technology has published 1 paper and authorized 2 patents.
(3) Through functional analysis and research on passenger guidance signs, the first-level indicators based on the rationality and effectiveness of sign setting and 13 second-level indicators for evaluation of passenger guidance signs are proposed, and the evaluation process is given. This application technology has published 1 paper and authorized 1 patent.
(4) A method integrating AHP and fuzzy comprehensive evaluation method is proposed to evaluate the guide sign layout plan, and the optimal layout is implemented in the project of the north square of the railway station, which proves that the method is effective and reasonable. This application technology has published 1 paper and authorized 1 patent.
The research results of this topic were adopted in the design of the Shanghai Railway Station North Square Hub project, which greatly saved passenger transfer time, enhanced the passenger flow distribution and distribution capacity of the large hub, reduced mutual interference between passenger flows, improved the service level and service quality of the hub, and enhanced the hub's sustainable development capabilities. The sales value was 3 million yuan. A total of 2 can be saved in two years*116.80 = 233.6 million yuan. The research and demonstration results of this topic are highly promotional and practical, and the research results will be further extended to the design and construction of large hubs such as Harbin Passenger Transport Hub, Pudong International Airport Hub, Huanghua Airport Hub, and subways.
This research applied for 5 patents, 4 of which have been authorized. Published 3 papers. This achievement has far-reaching impact and significance on the future construction of my country's hub.