Results 151 to 160 of about 2,737,750 (202)

Dynamic Traffic Signal Control for Isolated Intersections: Enhanced SARSA Reinforcement Learning with Expectation Prediction and Eligibility Traces. [PDF]

Sensors (Basel)
Gao Y, Sun W, Jian M, Zhang Z, Yan Z.
europepmc   +1 more source

Dynamic stability analysis of mixed-composition platoons with spatially weighted cooperative control. [PDF]

PLoS One
Dai Y, Ge X, Dai M, Liu Y, Yang A.
europepmc   +1 more source

Confident but incomplete: gaze behavior and driving dynamics in deadlock situations at T-intersections. [PDF]

Front Psychol
Strelau NR, Deml B.
europepmc   +1 more source

Enhancing Expressway Traffic State Perception: A Novel BAS-Optimized PSO-BP Fusion Model with Tensor Completion. [PDF]

Sensors (Basel)
Yin J, Guo X, Bai W, Ma L, Tang L.
europepmc   +1 more source

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Automated Vehicle Identification in Mixed Traffic

2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
Identifying autonomous vehicles (AVs) (e.g., those with adaptive cruise control) from traffic stream benefits enhancing traffic safety, elevating roadway capacity, and assisting autonomous vehicle management. This study tests the feasibility of identifying AVs using externally observed vehicle trajectory information.
Qianwen Li, Xiaopeng Li 0020, Handong Yao, Zhaohui Liang   +3 more
openaire   +1 more source

Unmixing Mix Traffic

2006
We apply blind source separation techniques from statistical signal processing to separate the traffic in a mix network. Our experiments show that this attack is effective and scalable. By combining the flow separation method and frequency spectrum matching method, a passive attacker can get the traffic map of the mix network.
Ye Zhu 0001, Riccardo Bettati
openaire   +2 more sources

Characteristics of synchronized traffic in mixed traffic flow

Chinese Physics B, 2012
In this paper, the characteristics of synchronized traffic in mixed traffic flow are investigated based on the braking light model. By introducing the energy dissipation and the distribution of slowdown vehicles, the effects of the maximum velocity, the mixing ratio, and the length of vehicles on the synchronized flow are discussed.
Hong-Xin Ning, Yu Xue
openaire   +1 more source

Mixed traffic and automated highways

Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97, 2002
A major issue in building a prototype automated highway system (AHS) is whether the system needs dedicated lanes, occupied only by computer-controlled cars that communicate and cooperate with each other; or whether the automated vehicles can be provided with enough sensing and intelligence that they can safely operate on regular highways, intermixed ...
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The bayesian traffic analysis of mix networks

Proceedings of the 16th ACM conference on Computer and communications security, 2009
This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network architectures is presented, that incorporates a number of attack techniques in the traffic analysis literature.
Carmela Troncoso, George Danezis
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Traffic Calming: The Way Ahead in Mixed Traffic

2021
Traffic calming is about measures to reduce vehicle speeds to below 50 km/h in order to reduce injury accidents, pollution and to make areas more liveable for people. Reduction of speed below 50 km/h is the most central measure as it both reduces risks and makes streets less attractive to car drivers.
openaire   +1 more source