Jianjun Wu
Orcid: 0000-0002-3762-0065Affiliations:
- Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China (PhD 2008)
According to our database1,
Jianjun Wu
authored at least 36 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Intell. Transp. Syst., October, 2024
Promoting Collaborative Dispatching in the Ride-Sourcing Market With a Third-Party Integrator.
IEEE Trans. Intell. Transp. Syst., July, 2024
A performance assessment method for urban rail transit last train network based on percolation theory.
J. Supercomput., May, 2024
A Coordination Optimization for Train Operation and Energy Infrastructure Control in a Metro System.
IEEE Trans. Intell. Transp. Syst., March, 2024
Reinforcement learning-based order-dispatching optimization in the ride-sourcing service.
Comput. Ind. Eng., 2024
2023
Int. J. Gen. Syst., November, 2023
IEEE Trans. Intell. Transp. Syst., October, 2023
An improved density peaks clustering algorithm based on k nearest neighbors and turning point for evaluating the severity of railway accidents.
Reliab. Eng. Syst. Saf., May, 2023
Corrigendum to 'Optimization of personalized price discounting scheme for one-way station-based carsharing systems' [European Journal of Operational Research 303 (2022) 220-238].
Eur. J. Oper. Res., May, 2023
A dynamic rescheduling and speed management approach for high-speed trains with uncertain time-delay.
Inf. Sci., 2023
2022
An Efficient Train Timetable Scheduling Approach With Regenerative-Energy Supplementation Strategy Responding to Potential Power Interruptions.
IEEE Trans. Intell. Transp. Syst., 2022
Understanding and Predicting the Short-Term Passenger Flow of Station-Free Shared Bikes: A Spatiotemporal Deep Learning Approach.
IEEE Intell. Transp. Syst. Mag., 2022
Scenario construction and deduction for railway emergency response decision-making based on network models.
Inf. Sci., 2022
A capacity matching model in a collaborative urban public transport system: integrating passenger and freight transportation.
Int. J. Prod. Res., 2022
Measuring the Similarity of Metro Stations Based on the Passenger Visit Distribution.
ISPRS Int. J. Geo Inf., 2022
Optimization of personalized price discounting scheme for one-way station-based carsharing systems.
Eur. J. Oper. Res., 2022
Decisions on train rescheduling and locomotive assignment during the COVID-19 outbreak: A case of the Beijing-Tianjin intercity railway.
Decis. Support Syst., 2022
2021
Inf. Sci., 2021
A Data-Based Bi-Objective Approach to Explore the Accessibility of Multimodal Public Transport Networks.
ISPRS Int. J. Geo Inf., 2021
Day-to-day dynamics of traveler learning behavior and the incentivization scheme of the operator for one-way carsharing services.
Comput. Ind. Eng., 2021
2020
Understanding User Behavior in Car Sharing Services Through The Lens of Mobility: Mixing Qualitative and Quantitative Studies.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Robust optimization of train timetable and energy efficiency in urban rail transit: A two-stage approach.
Comput. Ind. Eng., 2020
2019
A Bi-Objective Timetable Optimization Model for Urban Rail Transit Based on the Time-Dependent Passenger Volume.
IEEE Trans. Intell. Transp. Syst., 2019
Recognizing the Critical Stations in Urban Rail Networks: An Analysis Method Based on the Smart-Card Data.
IEEE Intell. Transp. Syst. Mag., 2019
First-train timing synchronisation using multi-objective optimisation in urban transit networks.
Int. J. Prod. Res., 2019
Analysis of energy consumption reduction in metro systems using rolling stop-skipping patterns.
Comput. Ind. Eng., 2019
Performance improvement of energy consumption, passenger time and robustness in metro systems: A multi-objective timetable optimization approach.
Comput. Ind. Eng., 2019
IEEE Access, 2019
2018
2016
J. Comput. Civ. Eng., 2016
Comput. Oper. Res., 2016
2015
Departure Time Optimization of Last Trains in Subway Networks: Mean-Variance Model and GSA Algorithm.
J. Comput. Civ. Eng., 2015
2014
Inf. Sci., 2014
Commun. Stat. Simul. Comput., 2014
2006
Appl. Math. Comput., 2006