Ecological Adaptive Cruise Control in a Traffic Stream with Mixed Autonomous and Manually Driven Vehicles

Connected and autonomous vehicle (CAV) technologies are likely to be gradually implemented over time. In order to improve the fuel efficiency of individual vehicle and the traffic flow, a rule-based ecological adaptive cruise control, called Ecological Smart Driver Model (Eco-SDM), is proposed. By adjusting the spacing between the leading and the following vehicles, Eco-SDM provides smoother deceleration and acceleration than the adaptive cruise control strategies based on Intelligent Driver Model (IDM-ACC) and the Nissan Model (Nissan-ACC). Moreover, the Virginia Tech microscopic energy and emission (VT-Micro) model is calibrated based on on-road fuel consumption data and used to estimate fuel consumption of CAVs and manually driven vehicles. Single-lane vehicle dynamics in a traffic stream with different percentage of CAVs are simulated. The result shows that CAVs generally consume less fuel than manually driven vehicles. Eco-SDM outperforms IDM-ACC and Nissan-ACC in terms of fuel consumption and travel time. For Eco-SDM based CAVs, the fuel saving benefit is greatest when a CAV is in the front of the platoon.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.
• Authors:
  • Lu, Chaoru
  • Hu, Liang
  • Dong, Jing
• 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: 20p

Subject/Index Terms

• TRT Terms: Autonomous intelligent cruise control; Autonomous vehicles; Car following; Connected vehicles; Fuel consumption; Headways; Intelligent vehicles; Market penetration; Traffic flow; Traffic platooning; Travel time; Vehicle mix
• Subject Areas: Data and Information Technology; Energy; Environment; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01660925
• Record Type: Publication
• Report/Paper Numbers: 18-05434
• Files: TRIS, TRB, ATRI
• Created Date: Feb 22 2018 9:18AM