01660340

Component

The exclusive bus lane (XBL) is one of the most popular bus transit systems in US. The Lincoln Tunnel utilizes an XBL through the tunnel in the AM peak period. This paper proposes a novel data-driven cooperative adaptive cruise control (CACC) algorithm for connected and autonomous buses. Different from existing model-based CACC algorithms, the proposed approach employs the idea of adaptive dynamic programming (ADP), which does not rely on the accurate knowledge of bus dynamics. A distributed cruise controller is learned by online headway, velocity, acceleration data collected from system trajectories. The convergence of the proposed algorithm and the stability of the closed-loop system are rigorously analyzed. The effectiveness of the proposed approach is also demonstrated by Paramics microscopic traffic simulations. Simulation results show that the travel times in the autonomous exclusive bus lanes are close to the present day travel times even when the traffic demand is increased by 30%.

This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.

18-02161

English

7p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Autonomous intelligent cruise control; Bus lanes; Bus transit; Highway traffic control; Peak periods; Traffic simulation; Tunnels

Lincoln Tunnel

Bridges and other structures; Highways; Operations and Traffic Management; Public Transportation

Transportation Research Board Annual Meeting 2018 Paper #18-02161

TRIS, TRB, ATRI

Jan 8 2018 10:31AM