Study on Self-Tuning Tyre Friction Control for Developing Main-Servo Loop Integrated Chassis Control System

Cao

International Journal of Distributed Sensor Networks

et al. 2018

Internet of Vehicles has become a promising way to realize the evolution from vehicular ad hoc networks and nextgeneration intelligent transportation system into future autonomous driving scenarios, clean-energy intelligent vehicles, and Smart Cities. However, multicasting service messages on available service channels and periodic exchanges of beacon messages on control channel cause the problem of efficiently scheduling those messages via multichannel transmission for intelligent vehicle terminal, to support real-world applications in Internet of Vehicles scenario. In this article, we investigate the intelligent vehicle terminal architecture and, particularly, design the wireless communication board by incorporating multicasting and congestion control modules. Especially, we present a multicast data delivery scheme with random-delay lowest-cost constraint to transfer service messages on service channels. Furthermore, a priority-aware congestion control scheme is also proposed by considering differentiated priorities of beacon messages on control channel, to cope with the congestion problem at bottleneck vehicle node. Based on the proposed schemes, we build up the RanLow (Random-delay Lowest-cost) module and the priority-aware congestion control (PARCEL) module by enabling multicasting and congestion control together in wireless communication board of the intelligent vehicle terminal architecture. Finally, the experimental results and comparison show that our devised RanLow module and PARCEL module are feasible and more efficient than existing schemes.

Section: Discussionmentioning

confidence: 99%

Section: Problem and Motivationmentioning

confidence: 99%

MAC²: Enabling multicasting and congestion control with multichannel transmission for intelligent vehicle terminal in Internet of Vehicles

Cao

International Journal of Distributed Sensor Networks

et al. 2018

Journal of Advanced Transportation

“…In references [19][20][21], the driver's psychological load also has a greater impact on travel time, especially at intersections [22][23][24]. For semiautonomous vehicles [25], the humanmachine sharing technology allows the driver and the OBU to share control of the vehicle, reducing the driver's psychological load [26][27][28]. In addition, intelligence, networking, and electrification have become the trend of the current automotive industry.…”

Section: Related Workmentioning

confidence: 99%

Physiological Characteristics and Nonparametric Test for Master-Slave Driving Task’s Mental Workload Evaluation in Mountain Area Highway at Night

Wang

Liu

Feng

2019

Self Cite

With the rapid development of advanced mobile intelligent terminals, driving tasks are diverse, and new tra c safety problems occur. We propose a new research on physiological characteristics and nonparametric tests for the master-slave driving task, especially for evaluation of drivers' mental workload in mountain area highway in nighttime scenario. First, we establish the experimental platform based driving simulator and design the master-slave driving task. Second, based on the physiological data and subjective evaluation for mental workload, we use statistical methods to composite the physical changes evolution analysis in a driving simulator. Finally, we nished nonparametric test of the drivers' psychological load and road test. e results show that in compassion with the daytime scenario, drivers should pay much e ort to driving skills and risk identi cation in the nighttime scenario. us, in the same driving condition, drivers should bear the higher level of mental workload, and it has been subjected to even greater pressures and intensity of emotions.

“…Recently, more and more people pay attention to intelligent vehicle based on Cooperative Vehicle Infrastructure System [36][37][38][39][40][41][42][43]. Besides, vehicle control and system model was combined with transportation simulation [44][45][46][47][48][49][50][51][52].…”

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

Journal of Advanced Transportation

et al. 2017

Self Cite

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.