| Issue |
E3S Web Conf.
Volume 283, 2021
2021 3rd International Conference on Civil, Architecture and Urban Engineering (ICCAUE 2021)
|
|
|---|---|---|
| Article Number | 02022 | |
| Number of page(s) | 6 | |
| Section | Urban Planning and Protection of Natural Environment Facilities | |
| DOI | https://doi.org/10.1051/e3sconf/202128302022 | |
| Published online | 07 July 2021 | |
Optimization method of navigation information mode under the condition of multi-exit city expressway
School of traffic and transportation, 100044 Beijing Jiaotong University, Beijing
* Corresponding author: 18701517796@163.com
In recent years, mobile phone navigation software has been widely used, but the voice broadcast information of many navigation software is not clear, which is easy to cause confused driving. Urban expressway is an important artery of the city. The road and traffic conditions of urban expressways are extremely complicated, and there are many types of exits, which can easily cause confused driving. Therefore, optimization of navigation modes under the condition of multi-exit urban expressways is particularly important. Based on the experimental data of simulated driving, this paper focuses on the influence of voice navigation broadcast timing on driving under urban expressway, founding driver’s behavior is significantly different under diverse navigation modes. This paper uses the principal component analysis method to comprehensively evaluate the navigation broadcast timing, and gives the optimal navigation broadcast timings for various multi-exit urban expressways. In most cases, the first broadcast time should be 1500m from the exit. This paper clarifies the impact of navigation broadcast timing on driving, and optimizes the navigation mode of multi-exit urban expressways, which is of great significance for reducing yaw under navigation and improving navigation services.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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