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Emergency vehicle (EMV) service is a key function of cities and is exceedingly challenging due to urban traffic congestion.
1909
Earlier work this paper cites.
The theory of dynamic programming,
R. Bellman, · 1954
Earlier work this paper cites.
A behavioural car-following model for computer simulation,
P. G. Gipps, · 1981
Earlier work this paper cites.
Multi-agent reinforcement learning: Independent vs. cooperative agents,
M. Tan, · 1993
Earlier work this paper cites.
General lane-changing model mobil for car-following models,
A. Kesting, M. Treiber, D. Helbing, · 1999
Earlier work this paper cites.
Actor-critic algorithms,
V. R. Konda, J. N. Tsitsiklis, · 2000
Earlier work this paper cites.
Driver reaction time in crash avoidance research: Validation of a driving simulator study on a test track,
D. V. McGehee, E. N. Mazzae, G. S. Baldwin, · 2000
Earlier work this paper cites.
Congested traffic states in empirical observations and microscopic simulations,
M. Treiber, A. Hennecke, D. Helbing, · 2000
Earlier work this paper cites.
J. F. Scarzello, D. S. Lenko, A. C. Feaga, Vehicle presence, speed and length detecting system and roadway installed detector therefor, 2001. US Patent 6,208,268
2001
Earlier work this paper cites.
R. P. Roess, E. S. Prassas, W. R. McShane, Traffic engineering, Pearson/Prentice Hall, 2004
2004
Earlier work this paper cites.
Performance of transit signal priority with queue jumper lanes,
G. Zhou, A. Gan, · 2005
Earlier work this paper cites.
Traffic measurement and vehicle classification with single magnetic sensor,
S. Y. Cheung, S. Coleri, B. Dundar, S. Ganesh, C.-W. Tan, P. Varaiya, · 2005
Earlier work this paper cites.
Architecture and evaluation of a unified v2v and v2i communication system based on cellular networks,
J. Santa, A. F. Gómez-Skarmeta, M. Sánchez-Artigas, · 2007
Earlier work this paper cites.
2008
Earlier work this paper cites.
A vanet-based emergency vehicle warning system,
A. Buchenscheit, F. Schaub, F. Kargl, M. Weber, · 2009
Earlier work this paper cites.
Effects of dynamically activated emergency vehicle warning sign on driver behavior at urban intersections,
P. T. Savolainen, T. K. Datta, I. Ghosh, T. J. Gates, · 2010
Earlier work this paper cites.
Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity,
A. Kesting, M. Treiber, D. Helbing, · 2010
Earlier work this paper cites.
Effects of drivers’ actions on severity of emergency vehicle collisions,
S. Yasmin, S. Anowar, R. Tay, · 2012
Earlier work this paper cites.
Study of deceleration behaviour of different vehicle types.,
A. K. Maurya, P. S. Bokare, · 2012
Cited alongside, same era.
Queue jump lane, transit signal priority, and stop location evaluation of transit preferential treatments using microsimulation,
B. Cesme, S. Z. Altun, B. Lane, · 2015
Cited alongside, same era.
Empirical flow-density and speed-spacing relationships: Evidence of vehicle length dependency,
B. Coifman, · 2015
Cited alongside, same era.
Acceleration-deceleration behaviour of various vehicle types,
P. Bokare, A. Maurya, · 2016
Cited alongside, same era.
Developments in connected and automated vehicles,
C. Y. D. Yang, K. Ozbay, X. J. Ban, · 2017
Cited alongside, same era.
Parameterized batch reinforcement learning for longitudinal control of autonomous land vehicles,
Analysis of the traffic behavior of emergency vehicles in a microscopic traffic simulation,
L. Bieker-Walz, M. Behrisch, M. Junghans, · 2018
Later among the works it cites.
Developing adaptive traffic signal control by actor–critic and direct exploration methods,
M. Aslani, M. S. Mesgari, S. Seipel, M. Wiering, · 2019
Later among the works it cites.
Multi-agent deep reinforcement learning for large-scale traffic signal control,
T. Chu, J. Wang, L. Codecà, Z. Li, · 2019
Later among the works it cites.
Urban traffic signal control with connected and automated vehicles: A survey,
Q. Guo, L. Li, X. (Jeff) Ban, · 2019
Later among the works it cites.
Actor-critic reinforcement learning for linear longitudinal output control of a road vehicle,
L. Puccetti, C. Rathgeber, S. Hohmann, · 2019
Later among the works it cites.
Multi-agent deep reinforcement learning for cooperative connected vehicles,
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Z. Huang, X. Xu, H. He, J. Tan, Z. Sun, · 2017
Cited alongside, same era.
2017
Cited alongside, same era.
2017
Cited alongside, same era.
E. Jang, S. Gu, B. Poole, Categorical reparameterization with gumbel-softmax, 2017. arXiv:1611.01144
2017
Cited alongside, same era.
An overview of 3gpp cellular vehicle-to-everything standards,
X. Wang, S. Mao, M. Gong, · 2017
Cited alongside, same era.
Facilitating emergency response vehicles’ movement through a road segment in a connected vehicle environment,
G. J. Hannoun, P. Murray-Tuite, K. Heaslip, T. Chantem, · 2018
Cited alongside, same era.
Design and experimental validation of a cooperative adaptive cruise control system based on supervised reinforcement learning,
S. Wei, Y. Zou, T. Zhang, X. Zhang, W. Wang, · 2018
Cited alongside, same era.
D. Kwon, J. Kim, · 2019
Later among the works it cites.
V2i-based architecture for information exchange among vehicles,
V. Milanés, J. Godoy, J. Pérez, B. Vinagre, C. González, E. Onieva, J. Alonso, · 2019
Later among the works it cites.
The green choice: Learning and influencing human decisions on shared roads,
E. Bıyık, D. A. Lazar, D. Sadigh, R. Pedarsani, · 2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
Simulating the impact of prioritization of emergency vehicles at traffic light controlled junctions on the other traffic,
V. Obrusnik, · 2019
Later among the works it cites.
N. Y. C. Government, New York End-To-End Response Times, 2019 (accessed November 22, 2020)a. URL: https://www1.nyc.gov/site/911reporting/reports/end-to-end-repsonse-time.page
2020
Closest in time.
N. Y. C. Government, Emergency Response Incidents, 2014 (accessed February 28, 2020)b. URL: https://data.cityofnewyork.us/Public-Safety/Emergency-Response-Incidents/pasr-j7fb
2020
Closest in time.
AHA, Heart Disease and Stroke Statistics, 2013 (accessed February 28, 2020). URL: https://cpr.heart.org/AHAECC/CPRAndECC/ResuscitationScience/UCM_477263_AHA-Cardiac-Arrest-20Statistics.jsp5BR=301,L,NC5D
2020
Closest in time.
Centralized cooperation for connected and automated vehicles at intersections by proximal policy optimization,
Y. Guan, Y. Ren, S. E. Li, Q. Sun, L. Luo, K. Li, · 2020
Closest in time.
Cooperative multiagent deep deterministic policy gradient (comaddpg) for intelligent connected transportation with unsignalized intersection,
T. Wu, M. Jiang, L. Zhang, · 2020
Closest in time.
Multi-agent learning empowered collaborative decision for autonomous driving vehicles,
J. Cao, S. Leng, K. Zhang, · 2020
Closest in time.