Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Controller Configurations01:22

Controller Configurations

84
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
84
Root-Locus Method01:19

Root-Locus Method

123
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
123
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

115
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
115
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

94
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
94
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

39
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
39
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

7.2K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Magnetic Resonance Spectroscopy Deep Learning with Magnetic Resonance Background Generator Enables In Vivo Metabolite Quantification of Hepatic Encephalopathy.

IEEE transactions on bio-medical engineering·2026
Same author

Epimedii Folium Supplementation Improves Semen Quality, Hormonal Profile, and Immune Function by Modulating Gut Microbiota and Seminal Metabolites in Aged Boars.

Animals : an open access journal from MDPI·2026
Same author

PolyMamba-Net: a lightweight and boundary-aware network for real-time polyp segmentation in colonoscopy.

Frontiers in medicine·2026
Same author

Triglyceride-glucose index and systemic immune-inflammation index are associated with left ventricular hypertrophy in type 2 diabetes mellitus patients.

BMC endocrine disorders·2026
Same author

Fuel-free micro/nanomotors as adsorptive platforms for water treatment.

Chemical communications (Cambridge, England)·2026
Same author

Association between red cell distribution width and HBV viral load and liver function parameters in patients with chronic hepatitis B: a real-world data study.

Frontiers in medicine·2026
Same journal

Differential sensitivity of self-reported driving and collision measures to aspects of shiftwork, sleep, and fatigue.

Accident; analysis and prevention·2026
Same journal

Delving into the visual attention of pedestrians during street crossing under time pressure: An eye-tracking approach.

Accident; analysis and prevention·2026
Same journal

Differentiating high-frequency and high-severity hotspots: A robust risk-evolution-volume (REV) framework.

Accident; analysis and prevention·2026
Same journal

Modeling takeover decisions in driving automation: a multilevel drift-diffusion model (MDDM) framework integrating human, system, and environmental factors.

Accident; analysis and prevention·2026
Same journal

The state-dependent causal effect of a V2X-based beyond-line-of-sight warning system on young driver response: a causal machine learning approach.

Accident; analysis and prevention·2026
Same journal

How conservative driving behavior increases crash risk: Understanding the systemic safety impacts of older drivers in mixed traffic flows.

Accident; analysis and prevention·2026
See all related articles

Related Experiment Video

Updated: May 30, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K

Risk quantification based Adaptive Cruise control and its application in approaching behavior at signalized

Haozhan Ma1, Chen Qian1, Linheng Li1

  • 1School of Transportation, Southeast University, Nanjing, Jiangsu Province 211189, PR China; Institute on Internet of Mobility, Southeast University and University of Wisconsin-Madison, Southeast University, Nanjing, Jiangsu Province 211189, PR China.

Accident; Analysis and Prevention
|January 29, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces Risk-Based Adaptive Cruise Control (RACC) for Connected and Autonomous Vehicles (CAVs) to reduce traffic oscillations at signals. RACC significantly cuts delays and fuel consumption, improving traffic flow and safety.

Keywords:
Connected and automated vehiclesMixed traffic flowModel-driven modelStability Analysis

More Related Videos

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K
Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

4.8K

Related Experiment Videos

Last Updated: May 30, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K
Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

4.8K

Area of Science:

  • Intelligent Transportation Systems
  • Control Theory
  • Automotive Engineering

Background:

  • Traffic signals induce stop-and-go behavior, compromising traffic safety, efficiency, and fuel economy.
  • Connected and Autonomous Vehicles (CAVs) offer potential solutions to mitigate these issues.

Purpose of the Study:

  • To develop and evaluate a novel Risk-Based Adaptive Cruise Control (RACC) system for CAVs.
  • To minimize traffic oscillations and improve performance at signalized intersections.

Main Methods:

  • RACC models intersection constraints as risks, ensuring adaptability and compliance.
  • Theoretical analysis confirms string stability and overdamped characteristics.
  • Simulations validate RACC's performance under various traffic conditions and Market Penetration Rates (MPRs).

Main Results:

  • RACC ensures platoon safety and high throughput by timely risk-based adjustments.
  • CAVs equipped with RACC exhibit smooth trajectories, reducing risk, delays, and fuel consumption.
  • Significant reductions observed: up to 87.1% in travel time delay and 54.8% in fuel consumption.

Conclusions:

  • RACC effectively mitigates traffic oscillations at signalized intersections.
  • The system demonstrates substantial computational efficiency and performance improvements over existing methods.
  • Future research should explore RACC in complex scenarios like multi-lane roads and lane-changing.