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Kun Jin

Publications
2
Citations
3
Publications by Year
20222024
Co-Authors:
Image of author Kun Jin

Kun Jin

Affiliation

School of Transportation
Southeast University
Nanjing, Jiangsu, China

Publication Topics

Biography

Kun Jin received the B.S. degree in geographic information system from the School of Transportation, Southeast University, in 2018, where he is currently pursuing the Ph.D. degree in transportation planning and management. His research interests include transportation data processing and multimode traffic network analysis.(Based on document published on 11 December 2023).
Publications
2
Citations
3
Publications by Year
20222024
Co-Authors:
Author's Published Works

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Cost-Optimal Charging Strategies for Electric Bus Fleets Considering Battery Degradation and Nonlinear Charging

Kun Jin;Xinran Li;Wei Wang;Xuedong Hua

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 6 | Journal Article |
Cited by: Papers (1)
Electric buses are becoming increasingly popular in transit systems by virtue of their great potential in improving environmental sustainability. The electric bus charging scheduling problem (EBCSP) has been widely researched to minimize the operation cost by determining the charging strategies, including when and how much electricity to charge. However, few studies have considered both the batter...Show More

Cost-Optimal Charging Strategies for Electric Bus Fleets Considering Battery Degradation and Nonlinear Charging

Kun Jin;Xinran Li;Wei Wang;Xuedong Hua

Year: 2024 | Volume: 25, Issue: 6 | Journal Article |

A Revised Logit Model for Stochastic Traffic Assignment With a Relatively Stable Dispersion Parameter

Wei Wang;Jian Wang;De Zhao;Kun Jin

IEEE Intelligent Transportation Systems Magazine
Year: 2022 | Volume: 14, Issue: 2 | Magazine Article |
Cited by: Papers (2)
The optimal value of the embedded dispersion parameter in the logit-based stochastic traffic assignment (STA) model significantly impacts predicted network flows. It also varies dramatically for different systems. This prevents its application, especially when real-world network flow data are unavailable for model calibration. To address the problem, this article proposes a revised logit model. Ra...Show More

A Revised Logit Model for Stochastic Traffic Assignment With a Relatively Stable Dispersion Parameter

Wei Wang;Jian Wang;De Zhao;Kun Jin

Year: 2022 | Volume: 14, Issue: 2 | Magazine Article |

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