Connected vehicle (CV) technologies enable data exchange between vehicles and transportation infrastructure. In a CV environment, traffic signal control systems receive CV trajectory data through vehicle-to-infrastructure (V2I) communications to make control decisions. Comparing with existing data collection methods (e.g., from loop-detectors), the CV trajectory data provide much richer information, and therefore have great potentials to improve the system performance by reducing total vehicle delay at signalized intersections. However, this connectivity might also bring cyber security concerns. In this paper, we aim to investigate the security problem of CV-based traffic signal control (CV-TSC) systems. Specifically, we focus on evaluating the impact of falsified data attacks on the system performance. A black-box attack scenario, in which the control logic of a CV-TSC system is unavailable to attackers, is considered. A two-step attack model is constructed. In the first step, the attacker tries to learn the control logic using a surrogate
model. Based on the surrogate model, in the second step, the attacker launches falsified data attacks to influence the control systems to make sub-optimal control decisions. In the case study, we apply the attack model to an existing CV-TSC system (i.e., I-SIG) and find intersection delay can be significantly increased. Finally, we discuss some promising defense directions.
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Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay
The emerging connected-vehicle technology provides a new
dimension for developing more intelligent traffic control algorithms
for signalized intersections. An important challenge for
scheduling in networked transportation systems is the switchover
delay caused by the guard time before any traffic signal
change. The switch-over delay can result in significant loss
of system capacity and hence needs to be accommodated in
the scheduling design. To tackle this challenge, we propose
a distributed online scheduling policy that extends the wellknown
Max-Pressure policy to address switch-over delay by
introducing a bias factor favoring the current schedule. We
prove that the proposed policy is throughput-optimal with
switch-over delay. Furthermore, the proposed policy remains
optimal when there are both connected signalized intersections
and conventional fixed-time ones in the system. With
connected-vehicle technology, the proposed policy can be easily
incorporated into the current transportation systems without
additional infrastructure. Through extensive simulation in VISSIM,
we show that our policy indeed outperforms the existing
popular policies.
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- NSF-PAR ID:
- 10037671
- Date Published:
- Journal Name:
- 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing
- Page Range / eLocation ID:
- 1 to 10
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3084041.3084065
