Development of Rescheduling and Operation Technology to Support Comfortable Railway Transportation

This study provides an overview of Hitachi, Ltd.'s rescheduling and operation technologies focused on energy conservation, effective resource utilization for carbon neutrality and optimization and automation to address the decline in skilled workers. These developments are set against the backdrop of global carbon neutrality goals and the decreasing number of skilled workers due to a declining birthrate and an aging population. In the field of train traffic management, the “Dynamic Headway Solution” predicts demand by analyzing passenger flow and updates the train control timetable based on the results. Additionally, the “Hybrid traffic management AI” integrates the expertise of traffic controllers into rescheduling plans, ensuring the feasibility of the final output through machine-learning AI. These technologies enhance travel comfort and operational efficiency, compensating for the reduced number of skilled personnel. In driver assistance, “Technology for generating energy-saving speed profiles” and its application, “Technology to follow the speed profile as the application”, were developed to realize train operation, that adhere to energy-efficient speed profiles. Field tests of “Driver Advisory System” in TOKYO MONORAIL CO., LTD have demonstrated a total power consumption reduction of 16.4%. This technology supports global carbon neutrality goals.

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Publication Details

Journal
IEEJ Journal of Industry Applications
Published
2024-11-28
DOI
https://doi.org/10.1541/ieejjia.24006126
Primary Topic
Transport and Logistics Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of Rescheduling and Operation Technology to Support Comfortable Railway Transportation

Yôhei Hashimoto, Y. Kato, Yuhi Tsutsumi, Kentaro Maki
IEEJ Journal of Industry Applications
Transport and Logistics Innovations
article

Development of Rescheduling and Operation Technology to Support Comfortable Railway Transportation

Yôhei Hashimoto, Y. Kato, Yuhi Tsutsumi, Kentaro Maki
article en

Abstract

This study provides an overview of Hitachi, Ltd.'s rescheduling and operation technologies focused on energy conservation, effective resource utilization for carbon neutrality and optimization and automation to address the decline in skilled workers. These developments are set against the backdrop of global carbon neutrality goals and the decreasing number of skilled workers due to a declining birthrate and an aging population. In the field of train traffic management, the “Dynamic Headway Solution” predicts demand by analyzing passenger flow and updates the train control timetable based on the results. Additionally, the “Hybrid traffic management AI” integrates the expertise of traffic controllers into rescheduling plans, ensuring the feasibility of the final output through machine-learning AI. These technologies enhance travel comfort and operational efficiency, compensating for the reduced number of skilled personnel. In driver assistance, “Technology for generating energy-saving speed profiles” and its application, “Technology to follow the speed profile as the application”, were developed to realize train operation, that adhere to energy-efficient speed profiles. Field tests of “Driver Advisory System” in TOKYO MONORAIL CO., LTD have demonstrated a total power consumption reduction of 16.4%. This technology supports global carbon neutrality goals.

IEEJ Journal of Industry ApplicationsVol. 14(2)
Hitachi (Japan) (JP)
Openalex Percentile: Top 69%
Transport and Logistics Innovations
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