Data-Driven Cooperative Adaptive Cruise Control of Buses on the Exclusive Bus Lane of the Lincoln Tunnel Corridor

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%.

Supplemental Notes:
- This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.
Authors:
- Gao, Weinan
- Jiang, Zhong-Ping
- Ozbay, Kaan
- Gao, Jingqin
Conference:
- Transportation Research Board 97th Annual Meeting
- Location: Washington DC, United States
- Date: 2018-1-7 to 2018-1-11
Date: 2018

Language

English

Media Info

Media Type: Digital/other
Features: Figures; References; Tables;
Pagination: 7p

Subject/Index Terms

TRT Terms: Autonomous intelligent cruise control; Bus lanes; Bus transit; Highway traffic control; Peak periods; Traffic simulation; Tunnels
Identifier Terms: Lincoln Tunnel
Subject Areas: Bridges and other structures; Highways; Operations and Traffic Management; Public Transportation;

Filing Info

Accession Number: 01660340
Record Type: Publication
Report/Paper Numbers: 18-02161
Files: TRIS, TRB, ATRI
Created Date: Feb 20 2018 9:27AM