TY - GEN
T1 - A piecewise-deterministic Markov model of freeway accidents
AU - Jin, Li
AU - Amin, Saurabh
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - This article develops a piecewise-deterministic Markov process (PDMP) for modeling freeway traffic dynamics due to random incidents. The random uncertainties in the occurrence and clearance of freeway accidents are modeled as stochastic transitions between a set of discrete modes. For a given accident location, the transition rates from an accident mode are determined by state-dependent congestion level. The impact of an accident is captured as reduced capacity at the location of the accident. The macroscopic traffic state within each accident mode evolves according to the nonlinear cell transmission model (CTM). The resulting stochastic switched system admits an intra-modal representation, where the nonlinear dynamics can be represented as piecewise-linear dynamics. This piecewise linear dynamics naturally leads to a PDMP representation. Some qualitative properties of a two-cell example are studied. Finally, a few design implications for control of accident-prone freeways are discussed.
AB - This article develops a piecewise-deterministic Markov process (PDMP) for modeling freeway traffic dynamics due to random incidents. The random uncertainties in the occurrence and clearance of freeway accidents are modeled as stochastic transitions between a set of discrete modes. For a given accident location, the transition rates from an accident mode are determined by state-dependent congestion level. The impact of an accident is captured as reduced capacity at the location of the accident. The macroscopic traffic state within each accident mode evolves according to the nonlinear cell transmission model (CTM). The resulting stochastic switched system admits an intra-modal representation, where the nonlinear dynamics can be represented as piecewise-linear dynamics. This piecewise linear dynamics naturally leads to a PDMP representation. Some qualitative properties of a two-cell example are studied. Finally, a few design implications for control of accident-prone freeways are discussed.
KW - Piecewise-deterministic Markov process
KW - Switched dynamical systems
KW - Traffic modeling and control
UR - http://www.scopus.com/inward/record.url?scp=84988215586&partnerID=8YFLogxK
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U2 - 10.1109/CDC.2014.7039649
DO - 10.1109/CDC.2014.7039649
M3 - Conference contribution
AN - SCOPUS:84988215586
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 1733
EP - 1740
BT - 53rd IEEE Conference on Decision and Control,CDC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014
Y2 - 15 December 2014 through 17 December 2014
ER -