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Development of a conflict-free unsignalized intersection organization method for multiple connected and autonomous vehicles
- Source :
- PLoS ONE, Vol 16, Iss 3, p e0249170 (2021), PLoS ONE
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- An effective traffic control strategy will improve travel reliability in urban transportation networks. Lack of coordination between vehicles, however, exacerbates congestion due mainly to frequent stops at unsignalized intersections. It is beneficial to develop a conflict-free cooperation method that collects basic safety message from multiple approaching Connected and Autonomous Vehicles (for short, CAVs) and guarantees efficient unsignalized intersection operations with safe and incident free vehicle maneuvers. This paper proposes an interspersed traffic organization method under controlled constraints. Firstly, relied on shared location technology and considered the operating characteristics of CAVs at unsignalized intersections to detect and analyze traffic conflicts to establish a right-of-way judgment model for CAVs. In order to further ensure the safety and operating efficiency of the vehicle, based on the judgment results of right-of-way judgment model, a vehicle speed guidance model is established for different traffic conditions. Taking the real city standard intersection as the experimental analysis object, through data collection and simulation experiment, the signal control method and the organization method proposed in this paper are compared and analyzed. The results showed that the traffic organization method proposed in this paper improves the operational efficiency of 46%, the average travel time is reduced by 6.54s, which is not only better than the signal control method, but also supports the development of car networking technology.
- Subjects :
- Operations research
Computer science
Velocity
Social Sciences
Transportation
Medicine and Health Sciences
Psychology
Operational efficiency
Public and Occupational Health
Multidisciplinary
Simulation and Modeling
Physics
Applied Mathematics
Accidents, Traffic
Classical Mechanics
Software Engineering
Transportation Infrastructure
Physical Sciences
Engineering and Technology
Medicine
Sensory Perception
Safety
Algorithms
Intersection (aeronautics)
Research Article
Computer and Information Sciences
Automobile Driving
Reliability (computer networking)
Science
Acceleration
Control (management)
Research and Analysis Methods
Civil Engineering
Computer Software
Motion
Computer Simulation
Data collection
SIGNAL (programming language)
Cognitive Psychology
Traffic Safety
Biology and Life Sciences
Reproducibility of Results
Object (computer science)
Roads
Cognitive Science
Perception
Mathematics
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....3a9135fe720dcdafc0da4a66faea67a9