TY - GEN
T1 - A Pedestrian Evacuation Model for ITS based on Cell Transmission Model and Linear Programming
AU - Han, Ruisong
AU - Tolan, Martin
AU - Cleary, Frances
AU - Zhang, Fan
N1 - Funding Information:
ACKNOWLEDGMENT This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under the Grant No. 15/RI/3219 and the research grant of TransSec that has received funding from the European GNSS Agency under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 776355.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/4
Y1 - 2021/4
N2 - System-Optimal Dynamic Traffic Assignment (SO-DTA) problem optimizes the time-dependent traffic flow of a transportation network, with varied objectives and complicated constraints. Traffic management applications of Intelligent Transports Systems (ITS), such as emergency evacuation, network optimization, and route planning, rely on SO-DTA models to obtain sophisticated solutions to optimize network performance. In this paper, an improved route-based linear programming (IRLP) optimization model is proposed, specially tailored for the emergency evacuation problem of pedestrians in ITS. The proposed model utilizes the Cell Transmission Model (CTM) and linear programming to model the pedestrian evacuation and introduces penalty labels in the IRLP formulations to solve the holding-back flow issue. Besides, when designing the model, the categories of transmission cells are simplified to make the model more practical, compared to some previous research work. Finally, a series of simulation experiments, including the comparison to the real-world shortest-path evacuation strategies, are conducted to showcase the effectiveness in saving valuable evacuation time.
AB - System-Optimal Dynamic Traffic Assignment (SO-DTA) problem optimizes the time-dependent traffic flow of a transportation network, with varied objectives and complicated constraints. Traffic management applications of Intelligent Transports Systems (ITS), such as emergency evacuation, network optimization, and route planning, rely on SO-DTA models to obtain sophisticated solutions to optimize network performance. In this paper, an improved route-based linear programming (IRLP) optimization model is proposed, specially tailored for the emergency evacuation problem of pedestrians in ITS. The proposed model utilizes the Cell Transmission Model (CTM) and linear programming to model the pedestrian evacuation and introduces penalty labels in the IRLP formulations to solve the holding-back flow issue. Besides, when designing the model, the categories of transmission cells are simplified to make the model more practical, compared to some previous research work. Finally, a series of simulation experiments, including the comparison to the real-world shortest-path evacuation strategies, are conducted to showcase the effectiveness in saving valuable evacuation time.
KW - cell transmission model
KW - dynamic traffic assignment
KW - evacuation
KW - Intelligent Transports Systems (ITS)
KW - linear programming
UR - http://www.scopus.com/inward/record.url?scp=85112451209&partnerID=8YFLogxK
U2 - 10.1109/VTC2021-Spring51267.2021.9448799
DO - 10.1109/VTC2021-Spring51267.2021.9448799
M3 - Conference contribution
AN - SCOPUS:85112451209
T3 - IEEE Vehicular Technology Conference
BT - 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 April 2021 through 28 April 2021
ER -