The Effect of Connected Vehicle Environment on Global Travel Efficiency and Its Optimal Penetration Rate

Dai, Rongjian; Lu, Yingrong; Ding, Chuan; Lu, Guangquan

doi:10.1155/2017/2697678

Cited by 8 publications

(3 citation statements)

References 25 publications

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“…The convenient calculations still deviate greatly from reality. Second, previous research on vehicles' characteristics has concentrated on steady steering [53][54][55][56]. However, lane changes and overtaking by heavy trucks on highways, as a frequent driving behavior, could gain more attention in the near future.…”

Section: And Wu Investigated Lyapunov Concept Exponents and Applicatimentioning

confidence: 99%

Bifurcation of Lane Change and Control on Highway for Tractor-Semitrailer under Rainy Weather

Peng

Guan

Zhang

et al. 2017

Journal of Advanced Transportation

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A new method is proposed for analyzing the nonlinear dynamics and stability in lane changes on highways for tractor-semitrailer under rainy weather. Unlike most of the literature associated with a simulated linear dynamic model for tractor-semitrailers steady steering on dry road, a verified 5DOF mechanical model with nonlinear tire based on vehicle test was used in the lane change simulation on low adhesion coefficient road. According to Jacobian matrix eigenvalues of the vehicle model, bifurcations of steady steering and sinusoidal steering on highways under rainy weather were investigated using a numerical method. Furthermore, based on feedback linearization theory, taking the tractor yaw rate and joint angle as control objects, a feedback linearization controller combined with AFS and DYC was established. The numerical simulation results reveal that Hopf bifurcations are identified in steady and sinusoidal steering conditions, which translate into an oscillatory behavior leading to instability. And simulations of urgent step and single-lane change in high velocity show that the designed controller has good effects on eliminating bifurcations and improving lateral stability of tractor-semitrailer, during lane changing on highway under rainy weather. It is a valuable reference for safety design of tractor-semitrailers to improve the traffic safety with driver-vehicle-road closed-loop system.

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Section: And Wu Investigated Lyapunov Concept Exponents and Applicatimentioning

confidence: 99%

Bifurcation of Lane Change and Control on Highway for Tractor-Semitrailer under Rainy Weather

Peng

Guan

Zhang

et al. 2017

Journal of Advanced Transportation

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show abstract

“…In a connected car environment, the driver can access his/her car, which is further connected to the edge server that provides all driving-related services. These services include insurance services [ 1 , 2 ] by awarding scores to the drivers, providing traffic information, providing optimal route information [ 3 ] (based on fuel efficiency and shortest distance), manufacturer services [ 4 ] (e.g., predictive vehicle maintenance), and monitoring services. The increasing number of in-vehicle sensors and their connectivity with the driver and other vehicles via edge and cloud for multiple services is increasing the comfort level of society.…”

Section: Introductionmentioning

confidence: 99%

Lightweight Driver Behavior Identification Model with Sparse Learning on In-Vehicle CAN-BUS Sensor Data

Ullah

Kim

2020

Sensors

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This study focuses on driver-behavior identification and its application to finding embedded solutions in a connected car environment. We present a lightweight, end-to-end deep-learning framework for performing driver-behavior identification using in-vehicle controller area network (CAN-BUS) sensor data. The proposed method outperforms the state-of-the-art driver-behavior profiling models. Particularly, it exhibits significantly reduced computations (i.e., reduced numbers both of floating-point operations and parameters), more efficient memory usage (compact model size), and less inference time. The proposed architecture features depth-wise convolution, along with augmented recurrent neural networks (long short-term memory or gated recurrent unit), for time-series classification. The minimum time-step length (window size) required in the proposed method is significantly lower than that required by recent algorithms. We compared our results with compressed versions of existing models by applying efficient channel pruning on several layers of current models. Furthermore, our network can adapt to new classes using sparse-learning techniques, that is, by freezing relatively strong nodes at the fully connected layer for the existing classes and improving the weaker nodes by retraining them using data regarding the new classes. We successfully deploy the proposed method in a container environment using NVIDIA Docker in an embedded system (Xavier, TX2, and Nano) and comprehensively evaluate it with regard to numerous performance metrics.

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“…This was succeeded with the development in V2I facilities as it was convenient in collecting the data. ENGG7240 Engineering Thesis R. Dai (Dai, Lu, Ding, & Lu, 2017), in their research to understand the relationship between the efficiency and penetration rate of connected, the authors measured the pros and cons of the connected vehicles. This will help the future to understand the use of connected and automated vehicles in development.…”

Section: Connected Environmentmentioning

confidence: 99%

UQ eSpace

Krishnamurthy¹

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Connected Environment is one of the latest phenomenon to step foot in transportation field. It is an environment where vehicles are connected with the surrounding environment such as other vehicles, infrastructure, pedestrians and environment. The data such as speed, spacing, braking and other valuable information are being provided to the driver through communication technologies. Obviously the driver gets distracted by seeing the information provided. To understand this distraction, this thesis projects an idea about the differences in driving without any information (baseline) and with the information being provided (connected) to the driver. It gives an idea on the impact of connected environment over the human factors. Car-following is phenomenon which drivers perform unknowingly while driving. CF is the decision of the driver to follow the vehicle moving in front along the same lane. Improper CF behaviour can lead to severe injuries, congestions, collisions and reduction in capacity of the Zheng, Z. (2014). Recent developments and research needs in modeling lane changing.

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The Effect of Connected Vehicle Environment on Global Travel Efficiency and Its Optimal Penetration Rate

Cited by 8 publications

References 25 publications

Bifurcation of Lane Change and Control on Highway for Tractor-Semitrailer under Rainy Weather

Bifurcation of Lane Change and Control on Highway for Tractor-Semitrailer under Rainy Weather

Lightweight Driver Behavior Identification Model with Sparse Learning on In-Vehicle CAN-BUS Sensor Data

UQ eSpace

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