[1] MA L, ZHANG H, YAN X D, et al. Smooth associations
between the emergency medical services response time
and the risk of death in road traffic crashes[J]. Journal of
Transport & Health, 2019, 12: 379-391.
[2] 李君羡, 沈宙彪, 童文聪, 等. 基于模糊时序网络的城市路网关键交叉口识别方法[J]. 交通运输系统工程与信息, 2022, 22(4): 202-209. [LI J X, SHEN Z B, TONG
W C, et al. A fuzzy temporal network model for
identifying critical intersections in urban road network
[J]. Journal of Transportation Systems Engineering and
Information Technology, 2022, 22(4): 202-209.]
[3] KUMAR N, RAHMAN S S, DHAKAD N. Fuzzy inference
enabled deep reinforcement learning-based traffic light
control for intelligent transportation system[J]. IEEE
Transactions on Intelligent Transportation Systems,
2021, 22(8): 4919-4928.
[4] HUANG Y S, WENG Y S, ZHOU M. Design of traffic
safety control systems for emergency vehicle preemption
using timed petri nets[J]. IEEE Transactions on
Intelligent Transportation Systems, 2015, 16(4): 2113-
2120.
[5] QIN X, KHAN A M. Control strategies of traffic signal
timing transition for emergency vehicle preemption[J].
Transportation Research Part C: Emerging Technologies,
2012, 25: 1-17.
[6] SU H, ZHONG Y D, CHOW J Y, et al. EMVLight: A
multi-agent reinforcement learning framework for an
emergency vehicle decentralized routing and traffic
signal control system[J]. Transportation Research Part C:
Emerging Technologies, 2023, 146: 103955.
[7] MIN W, YU L, CHEN P, et al. On-demand greenwave for
emergency vehicles in a time-varying road network with
uncertainties[J]. IEEE Transactions on Intelligent
Transportation Systems, 2020, 21(7): 3056-3068.
[8] CAO M, LI V O K, SHUAI Q. A gain with no pain:
Exploring intelligent traffic signal control for emergency
vehicles[J]. IEEE Transactions on Intelligent
Transportation Systems, 2022, 23(10): 17899-17909.
[9] WU J, LIU P, TIAN Z Z, et al. Operational analysis
of the contraflow left-turn lane design at signalized
intersections in China[J]. Transportation Research Part
C: Emerging Technologies, 2016, 69: 228-241.
[10] 慈玉生, 荣彧, 吴丽娜. 基于感应控制的交叉口逆向可变车道仿真研究[J]. 交通运输系统工程与信息, 2018,
18(S1): 66-73. [CI Y S, RONG Y, WU L N. Traffic
simulation research of reverse variable lane at
intersection based on actuated signal control[J]. Journal
of Transportation Systems Engineering and Information
Technology, 2018,18(S1): 66-73.]
[11] CHEN X, JIA Y. Sustainable traffic management and
control system for arterial with contraflow left-turn lanes
[J]. Journal of Cleaner Production, 2021, 280: 124256.
[12] DING C, DAI R, FAN Y, et al. Collaborative control of
traffic signal and variable guiding lane for isolated
intersection under connected and automated vehicle
environment[J]. Computer-Aided Civil and Infrastructure
Engineering, 2022, 37(15): 2052-2069.
[13] WU J, LIU P, QIN X, et al. Developing an actuated signal
control strategy to improve the operations of contraflow
left-turn lane design at signalized intersections[J].
Transportation Research Part C: Emerging Technologies,
2019, 104: 53-65.
[14] 贺宜, 褚端峰, 吴超仲, 等. 基于MPC的大型车辆防侧翻控制方法[J]. 交通运输系统工程与信息, 2015, 15
(3): 89-99. [HE Y, CHU D F, WU C Z, et al. Anti-rollover control for heavy-duty vehicles based on model
prodictive control[J]. Journal of Transportation Systems
Engineering and Information Technology, 2015, 15(3):
89-99.]
[15] YU C, FENG Y, LIU H X, et al. Integrated optimization
of traffic signals and vehicle trajectories at isolated urban
intersections[J]. Transportation Research Part B:
Methodological, 2018, 112: 89-112.
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