TY - JOUR
T1 - Impact of information on topology-induced traffic oscillations
AU - Wang, Yanhong
AU - Jiang, Rui
AU - Nie, Yu
AU - Gao, Ziyou
N1 - Funding Information:
Funding: The work was supported by the National Natural Science Foundation of China [Grants 71621001, 71931002, 71601073, and 71601072] and Key Scientific and Technological Research Projects in Henan Province of China [Grant 172102210271]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2020.1032.
Publisher Copyright:
© 2021 INFORMS Inst.for Operations Res.and the Management Sciences. All rights reserved.
PY - 2021/4
Y1 - 2021/4
N2 - Previous studies have shown traffic oscillations can be induced by special network topology. In the simplest case, a network of twointersections connected by two parallel roads would produce oscillatory traffic, when the split of drivers between the two roads falls into certain range. To understand how traffic informationmay affect such oscillations, a subset of drivers is allowed to be "reactive" in this study; that is, their route choice varies according to information about prevailing traffic conditions on the roads.Weshowthat, depending on the ratio of reactive drivers, the system displays six new decaying, periodic oscillatory, or stable patterns. All solutions are obtained analytically in closed form and validated by macroscopic traffic simulation. Of all the solutions discovered, only one both is stable and fully utilizes the road space between the two intersections, and hence it is more desirable than the other solutions. The findings reveal the link between information provision and topology-induced oscillations, which may help practitioners design strategies that contribute to mitigating the adverse impact of such oscillations.
AB - Previous studies have shown traffic oscillations can be induced by special network topology. In the simplest case, a network of twointersections connected by two parallel roads would produce oscillatory traffic, when the split of drivers between the two roads falls into certain range. To understand how traffic informationmay affect such oscillations, a subset of drivers is allowed to be "reactive" in this study; that is, their route choice varies according to information about prevailing traffic conditions on the roads.Weshowthat, depending on the ratio of reactive drivers, the system displays six new decaying, periodic oscillatory, or stable patterns. All solutions are obtained analytically in closed form and validated by macroscopic traffic simulation. Of all the solutions discovered, only one both is stable and fully utilizes the road space between the two intersections, and hence it is more desirable than the other solutions. The findings reveal the link between information provision and topology-induced oscillations, which may help practitioners design strategies that contribute to mitigating the adverse impact of such oscillations.
KW - Information provision
KW - Network topology
KW - Route choice
KW - Traffic oscillations
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U2 - 10.1287/TRSC.2020.1032
DO - 10.1287/TRSC.2020.1032
M3 - Article
AN - SCOPUS:85103449100
SN - 0041-1655
VL - 55
SP - 475
EP - 490
JO - Transportation Science
JF - Transportation Science
IS - 2
ER -