A5100426848- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Traffic Prediction and Management Techniques
- Urban Transport and Accessibility
- Evaluation and Optimization Models
- Transportation and Mobility Innovations
- Traffic and Road Safety
- Occupational Health and Safety Research
Beijing Transportation Research Center
2010-2022
Due to the increasing diversification of urban transportation modes, many areas have problem unbalanced traffic demand, which makes accurate prediction demand very important. However, most existing studies focus on improving accuracy single spatial relationship a mode, ignoring diversity relationships and heterogeneity stations in network. In this paper, we propose Co-Modal Graph Attention neTwork(CMGAT) framework uncover impact different mode interactions demand. Specifically, first utilize...
A better understanding of travel demand will enable transit authorities to evaluate the services they offer, adjust marketing strategies and improve overall performance. In this paper, we aim develop a method identify trip purpose passenger flow who have trips commercial district. While same region always has different functions, it is fairly challenging patterns for individual riders in large dataset. To end, use Latent Dirichlet Allocation algorithm generate users' topic. And then, with...
Summary The travel demand is of vital importance for transport planning. Especially in rush hours, the commuters aggregate certain areas, resulting traffic jams, which hinder normal operation urban traffic. key issue to solve problem find out passengers and accordingly arrange transit resource more reasonably. This paper proposes a framework that provides shuttle bus solution satisfy gathered hours according their history obtained by smartcard data. Firstly, an aggregation algorithm basing...
This paper proposes measurements regarding the performance evaluation indexes of urban public transport based on Intelligent Card (IC) data. The analysis is performed in a 14-day period. In order to calculate number station passengers, data mining techniques are used process trade records according difference sequential time. test shows travel and operations during peak hours Beijing subway lines, comparison result higher intensity hours.
In the course of traffic impact analysis (TIA), confirming number and location construction project accesses for vehicles (CPAV) is an important analytical content TIA. There a shortage efficient methods to design CPAV. Therefore, based on characteristics 686 vehicle from 189 TIA projects in Beijing, 42 survey locations were chosen as study objects this research. After analysis, headway samples collected locations, mathematical model was set up analyze capacity CPAVs, queuing theory used...
Abstract The mining of IC card data for commuters’ classification and analysis bus route choice plays an important role public transport passengers’ behavior analysis, formulating a scientific reasonable traffic planning strategy. authors choose some indicators in Beijing use regression tree model to build the classifier. Three parameters: departure time, travel distance frequency, as parameters, are input into results show 45 passengers; Among them, strong commuting passengers accounted...