Vehicle type-dependent heterogeneous car-following modeling and road capacity analysis

Abstract

缺乏异质交通流建模：

Due to the lack of natural driving databases containing heterogeneous traffic in the existing heterogeneous car-following modeling research, there is an urgent need for the support of a large amount of measured trajectory data for modeling.

做了：

which the statistical character- istics of the following car speed, speed difference, gap, time headway and acceleration in each mode are studied separately

Intro

However, the above model building process is based on the author’s collection of a small amount of data based on traditional statistical modeling methods and modeling in a homogenized highway scene, so it cannot meet the current needs of traffic flow development.

Conclusion

卡车的影响

Trucks have a significant impact on the following characteristics. Whether as a leader or a follower, the following behavior of trucks tends to maintain a greater gap and a lower speed, that is, a larger time headway. Under the high-speed driving condition of 25–30 m/s, when the truck follows the car, the average time headway is 2–3 s, and the average gap is 70 m. Whereas the car follows the car, the average time headway is 1.5 s, and the average gap is 40 m.