Abstract
To research the numerical relationship between headway and speed, field data of car-following is gathered by vehicles equipped with high precision GPS, and a Modified Optimal Velocity model (M-OVM for short) is built based on the field data. The original OVM and the M-OVM are calibrated and extended to the macroscopic parameters, the result shows that the M-OVM can describe the relationship of traffic parameters with a higher accuracy. Furthermore, simulations are conducted to analyze the characteristics of the car-following model with the M-OVM, the result shows that the M-OVM can improve the stability of the car-following model.
| Original language | English |
|---|---|
| Pages (from-to) | 41-46 and 67 |
| Journal | Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology |
| Volume | 17 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1 Apr 2017 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Car-following model
- Nonlinear calibration
- Optimal velocity model
- Traffic flow theory
- Urban traffic
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