TY - JOUR
T1 - Reconciling transfer synchronization and service regularity
T2 - real-time control strategies using passenger data
AU - Gavriilidou, Alexandra
AU - Cats, Oded
PY - 2018/4/6
Y1 - 2018/4/6
N2 - Real-time holding control strategies are implemented, among other reasons, in order to protect transfers. In the context of high-frequency services, there is a need to reconcile between striving for single-line regularity and synchronizing inter-line arrivals. Their operationalization depends on the predictions regarding passenger flows across the network. We examine the influence of real-time passenger data on the performance of transfer synchronization control. To this end, we develop two real-time transfer synchronization controllers which make use of different passenger data sources. The controllers differ in their assumptions concerning capacity constraints as well as on-board crowding conditions. The results show that each transferring passenger saves on average 2–10 min thanks to the proposed strategy, while on-board passengers experience a delay of 1–2 min each in most cases. The highest time saving per transferring passenger is obtained when the demand level is low and the controller opts for synchronizing more frequently. HighlightsRule-based holding controller selects transfer synchronization or line regularityThe impact of different passenger data on controller performance is investigatedOn-board crowding conditions are considered by the real-time controllerOn-board occupancy is the most valuable real-time passenger data source
AB - Real-time holding control strategies are implemented, among other reasons, in order to protect transfers. In the context of high-frequency services, there is a need to reconcile between striving for single-line regularity and synchronizing inter-line arrivals. Their operationalization depends on the predictions regarding passenger flows across the network. We examine the influence of real-time passenger data on the performance of transfer synchronization control. To this end, we develop two real-time transfer synchronization controllers which make use of different passenger data sources. The controllers differ in their assumptions concerning capacity constraints as well as on-board crowding conditions. The results show that each transferring passenger saves on average 2–10 min thanks to the proposed strategy, while on-board passengers experience a delay of 1–2 min each in most cases. The highest time saving per transferring passenger is obtained when the demand level is low and the controller opts for synchronizing more frequently. HighlightsRule-based holding controller selects transfer synchronization or line regularityThe impact of different passenger data on controller performance is investigatedOn-board crowding conditions are considered by the real-time controllerOn-board occupancy is the most valuable real-time passenger data source
KW - control
KW - passenger flow data
KW - Public transport
KW - short-term prediction
KW - transfer synchronization
UR - http://www.scopus.com/inward/record.url?scp=85045062686&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:d5a4b133-4a9d-499f-9435-a9816f09eed8
U2 - 10.1080/23249935.2018.1458757
DO - 10.1080/23249935.2018.1458757
M3 - Article
AN - SCOPUS:85045062686
VL - 15 (2019)
SP - 215
EP - 243
JO - Transportmetrica A: Transport Science
JF - Transportmetrica A: Transport Science
SN - 2324-9935
IS - 2
ER -