Virtual subjective and objective evaluation method of traffic jam assist

Abstract

The virtual subjective and objective evaluation method is a significant development method to improve the performance of Traffic Jam Assist (TJA). This paper proposed a virtual subjective and objective evaluation method of TJA, including test scenarios and evaluation indices. Firstly, the paper built a virtual test and evaluation platform for intelligent vehicles based on a high-fidelity driving simulator and VTD traffic simulation software. Secondly, the paper proposed an objective evaluation system composed of evaluation indices, 11 test scenarios, and 49 test cases. Thirdly, the paper put forward a subjective evaluation system composed of three indices: acceptance, comfort, and psychological load. Finally, the paper used the platform mentioned above to conduct subjective and objective tests and evaluations of the TJA system that comes from Matlab. Meanwhile, objective and subjective evaluation scoring results were obtained. The evaluation results showed that the subjective and objective evaluation method proposed in this paper can test the objective and subjective performance of the TJA system comprehensively and systematically, which provided a guarantee for the improvement of the TJA system.

Evaluation Modeling of Regional Traffic Congestion Based on Fuzzy AHP

“…Traffic congestion, categorized as frequent or occasional, often occurs in urban areas due to demand exceeding road capacity. Studies suggest that traffic flow failure at bottlenecks [1], both occasional (e.g., accidents, road maintenance) and recurrent (due to factors like demand, driving behavior, and design), is the primary cause of expressway congestion. With the rise of transportation big data, user-generated traffic data can be used to analyze and predict road conditions.…”