Jun Bi’s research while affiliated with Beijing Jiaotong University and other places

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Publications (54)


Quick taxi route assignment via real-time intersection state prediction with a spatial-temporal graph neural network
  • Article

January 2024

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35 Reads

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3 Citations

Transportation Research Part C Emerging Technologies

Fujun Wang

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Jun Bi

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Figure 14. The network evolution on the day of Qingming Festival: (a1) subregions 1 and 2, (a2) subregions 2 and 3 under 21 P is increased; (b1) subregions 1 and 2, (b2) subregions 2 and 3 under 2E P is increased. The line is the simulation result of the model, and the arrow indicates the direction of system evolution. Point A represents the initial state and points B1, B2, and B3 represent final state of the simulation under different control strategies.
Evaluation indicators of partitioning (The evaluation indicators of partitioning is defined as the average similarity ANS k , it is used to the evaluate the result of partitioning and calculated by Equation (A18) in Appendix A).
Parameters calibration of the model on the weekday before the holiday and the ordinary weekday.
Modeling and Control of Network Macroscopic Fundamental Diagram during Holidays: A Case Study of Qingming Festival in Tianjin
  • Article
  • Full-text available

July 2023

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42 Reads

Applied Sciences

In this paper, the macroscopic traffic states and network traffic dynamics during the Qingming Festival holiday are explored with the Macroscopic Fundament Diagram (MFD), including the weekday before the holiday (WBH), the day of Qingming Festival (DQF), and the ordinary weekday (OW). The network is heterogeneous on the densities’ distribution, and the congested areas are different in location and size. Normalized Cut (Ncut) algorithm is used to partition the heterogeneous network into multiple homogeneous subregions. The MFD of each subregion is distributed within the critical density on the WBH, and the high-density region moves from the city center to the periphery. On the DQF, high-density areas are on the central and west of the urban network. The congested branch appears on the MFD of the subregion. Then, two calibrated dynamic models, are applied to analyze the network evolution based on the partitioning results. On the basis of the calibrated model, several control strategies are proposed to relieve regional congestion on holidays. According to the simulation results, congestion on the DQF can be alleviated by controlling the external inflow ratio of subregion 2 or limiting the amount of traffic entering subregion 2 from the outside.

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Sequence optimization of departure flights considering ferry scheduling

June 2023

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35 Reads

Journal of Intelligent & Fuzzy Systems

Due to uncertain factors such as weather, large-scale flight delays will occur on the ground at the airport. A reasonable and effective flight sequence can make the airport resume regular operation as soon as possible. However, limited shuttle bus resources will limit the execution of the flight sequence plan. In order to provide decision support for airport authorities, we establish an integrated optimization model for flight sequences that consider shuttle bus resources. The objective function comprehensively considers the operational losses, airline profit losses, and loss of passenger time value. Then we design a multi-chromosome genetic algorithm to solve the model according to the characteristics of the integration problem. In addition, a simulation experiment is conducted based on the data from Yunnan Kunming Changshui International Airport. The simulation experiment results show that compared with the current first-come-first-served (FCFS) strategy, the algorithm reduces the overall loss caused by delays by 7.03%. The results of the simulation example verify the effectiveness of the proposed model and algorithm.





Citations (36)


... GNNs are also used for studying taxi trips. For example, Wang et al. (2024) developed a spatio-temporal GNN model for taxi route assignment. Tygesen et al. (2023) conduct experiments on NYC Yellow Taxi and provide insights on the kinds of connections GNNs use for spatio-temporal predictions in the transport domain. ...

Reference:

Graph neural network surrogate for strategic transport planning
Quick taxi route assignment via real-time intersection state prediction with a spatial-temporal graph neural network
  • Citing Article
  • January 2024

Transportation Research Part C Emerging Technologies

... Multiobjective optimization algorithms, as an effective method for solving resource allocation problems, play a particularly important role in the allocation of resources within intelligent manufacturing. By optimizing multiple objectives simultaneously, a more comprehensive consideration of various constraints and demands during the production process is facilitated, achieving optimal resource allocation [6][7][8]. ...

Optimization Modeling of Spinning Frame Equipment Resource Allocation in a Textile Factory Based on Multi-objective
  • Citing Conference Paper
  • December 2022

... Other attributes are included with the coefficients as specified by Equation 1, 2, and 4. Finally, we hypothesized that socioeconomic and travel variables could influence the choice among the alternatives. Based on this a priori hypothesis established from the literature review, socio-economic and travel variables are included: age and annual household income are introduced as continuous variables, and dummies on trip purposes are also included (Malokin et al., 2019;Zhou et al., 2023;Haboucha et al., 2017;Tu et al., 2022;Cyganski et al., 2015). Similarly, the systematic utility of Self-owned AV (SO AV) is defined, as shown in Equation 6. ...

Understanding individuals’ choice-making mechanism in trip chains of shared autonomous vehicles
  • Citing Article
  • October 2023

Travel Behaviour and Society

... The effects of signal coordination on the MFD were investigated in [32], which stated that the impacts of the strategies were sensitive to the signal cycle length chosen (60 s, 90 s, 120 s), and a poor signal coordination reduces the network capacity and the free-flow speed. Other variables that affect the MFD include junction regulation [33], traffic signals [34][35][36], network spatial characteristics [37], buses [38], large-scale activities [39], autonomous vehicles [40][41][42][43], turning traffic [44], rainfall [45], ride pooling [46], bicycle traffic [47], traffic incidents [48], the position of the loop detectors [49], and network heterogeneity [50]. ...

Impact of large-scale activities on macroscopic fundamental diagram: Field data analysis and modeling
  • Citing Article
  • July 2022

Transportation Research Part A Policy and Practice

... Let us discuss the research developed so far in an actuarial context. In this regard, some papers have focused on the prediction of signals using other telematics and traditional covariates (see Sun et al. (2021) and Guillén et al. (2020)). Both papers benefited from the high-frequency setting of signals when performing their analysis. ...

Driving Risk Assessment Using Near-Miss Events Based on Panel Poisson Regression and Panel Negative Binomial Regression

Entropy

... Companies like Tesla and Waymo have already done quite a good amount of research in this area, but still, it is far from perfect. The issues related to incompetency, infrastructure, and driving scenarios are the primary area of contributions done by many researchers [8][9][10][11]. Apart from that, human safety is a significant concern that is related to driver-less cars application development. Perfection should be accurate because human life should not be dealt with chances. ...

Research on Self Driving Customized Bus Lines Based on Users’ Real-Time Needs
  • Citing Conference Paper
  • December 2020

SAE Technical Papers

... GA has been also used as an optimisation tool in a multitude of applications involving airport operations management. Liang et al. (2020) use an adaptive parallel genetic algorithm (APGA) to solve the gate assignment problem. It is claimed to be effective because it introduces the idea of elite strategy and parallel design and can adaptively adjust the crossover probability. ...

An Improved Adaptive Parallel Genetic Algorithm for the Airport Gate Assignment Problem

... Te reason is, in an airport, there are always two styles of stands, which are remote stands and the stands with boarding gates, which will be called "gated stands" in the rest of this paper. Using gated stands can increase passenger satisfaction [6]. If passengers board a fight at a gated stand, passengers can directly board the aircraft through the gate, which means the boarding distance can be considered as the walking distance. ...

A Tabu Search-Based Algorithm for Airport Gate Assignment: A Case Study in Kunming, China

... In order to conduct a thorough examination of telematics data and accident data, it is imperative to adopt a comprehensive perspective on the concept of risky driving. Insurance companies typically possess comprehensive knowledge regarding accidents, specifically the extent of their severity, as well as the driver's previous history (Sun et al., 2020). Telematics service providers gather data pertaining to road conditions and driving behavior. ...

Assessing Driving Risk Using Internet of Vehicles Data: An Analysis Based on Generalized Linear Models

Sensors

... Moreover, individuals from women and other genders are less interested in increasing the usage of this particular mode of transportation compared to their male counterparts. This aligns with findings from a prior study, which reported that men have a 4.3 times greater likelihood of using rental cars than women (Bi et al., 2020). However, the study also reveals that non-White e-scooter users and users with no automobile ownership are more likely to increase their usage of rental cars. ...

Capturing the Characteristics of Car-Sharing Users: Data-Driven Analysis and Prediction Based on Classification