Research on Road Capacity in the Scenarios of Autonomous Vehicles in China Tongji University, China

Format:

Book

Conference/Event

Author/Creator:

Chen, Jing, author.

Contributor:

Du, Yuchuan

Li, Jian

Zhang, Ning

Zhuo, Xi

Conference Name:

3rd International Forum on Connected Automated Vehicle Highway System through the China Highway & Transportation Society (2020-10-29 : Jinan, China)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2020

Summary:

With the rapid development of autonomous driving technologies, the proportion of autonomous vehicles (AVs) will increase and influence road capacity. In this study, the simulation of mixed traffic flow was studied using an improved cellular automata model. Safety inter-vehicle spacing, the length of vehicles and reaction time are introduced into the cellular automata model. We delete the acceleration, deceleration and randomization rule for ideal conditions. Numerical simulations are utilized to analyze road capacity with different proportions of AVs. Road capacity is about 2200 pcu/h/lane for pure manual vehicle (MV) traffic flow and about 3600 pcu/h/lane for pure AV traffic flow. The capacity increases by 19.2% when there are 50% AVs in the traffic flow. And the capacity increases by around 63.6% due to the pure AV traffic flow. The results indicate that the improved cellular automata model proposed in this paper simulates the mixed traffic flow under ideal conditions more accurately

Notes:

Vendor supplied data

Publisher Number:

2020-01-5223

Access Restriction:

Restricted for use by site license