Time-Delay Following Model for Connected and Automated Vehicles Considering Multiple Vehicle Safety Potential Fields
Source abstract
Abstract
Connected and automated vehicles (CAVs) represent a significant development in the transport industry owing to their intelligent and interconnected features. Potential field theory has been extensively used to model CAV driving behaviour owing to its objectivity, universality, and measurability. However, existing car-following models do not consider the impact of time delays and the influence of information from multiple vehicles ahead and behind. This paper focuses on the driving-safety risks associated with CAVs, aiming to enhance vehicle safety and reliability during travelling. We developed a multi-vehicle car-following model based on safety potential fields (MIDM-SPF), taking into account the characteristics of multi-vehicle connected information and time delays. To enhance the model’s precision, real-world data from urban roads were employed, alongside an improved optimisation algorithm to fine-tune the car-following model. The simulation experiment revealed that MIDM-SPF significantly reduces stop-and-go traffic, thereby improving traffic flow stability in urban areas. Additionally, we validated the stability of our model under varying market penetration rates in large-scale mixed traffic. Our findings indicate that increasing the CAV proportion improves the stability of mixed traffic flows, which has important implications for alleviating traffic congestion and guiding the large-scale implementation of autonomous driving in the future.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Traffic control and management · Autonomous Vehicle Technology and Safety · Transportation Planning and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Shandong Key Laboratory of Smart Transportation, Jinan 250014, China
School of Information Engineering, Chang’an University, Xi’an 710064, China
School of Electronics and Control Engineering, Chang’an University, Xi’an 710064, China
Funding
Open Project of Shandong Key Laboratory of Smart Transportation
References (51)
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