Impact of cooperative autonomous vehicle platooning on highway traffic efficiency and carbon emissions

Connected and automated vehicle (CAV) platooning is widely regarded as a key enabler of improved motorway efficiency, safety, and environmental performance. However, current evidence remains dispersed across heterogeneous experimental configurations, resulting in limited comparability and a scarcity of motorway-scale evaluations based on consistent performance metrics. This work develops a simulation-based, fully reproducible evaluation framework and applies it to Dublin’s M50 motorway to quantify safety efficiency trade-offs, environmental impacts, and incident resilience in mixed CAV and human-driven traffic. Five experimental scenarios are formulated to: (i) calibrate platoon-control aggressiveness and vehicle-following parameters for balanced safety and throughput; (ii) determine time-of-day-dependent CAV penetration thresholds; (iii) assess leadership effects by comparing mixed platoons led by lower-level CAV (CAV2) and higher-level CAV (CAV4); (iv) characterize powertrain-dependent traffic and emission responses for petrol, diesel, and battery-electric vehicles; and (v) evaluate resilience under a standardized multi-lane closure. Results indicate that a moderately aggressive combination of vehicle-type and control-policy settings reduces time-to-collision conflicts while increasing network throughput, that higher lead-vehicle automation improves platoon stability, and that platooning reduces post-incident recovery time and near-collision risk. The proposed framework establishes motorway-scale benchmarks and provides actionable guidance for platoon-control tuning, leader assignment, and environmentally informed operational planning under realistic CAV penetration levels. • SIMPLA platoon controller is integrated with SUMO for Dublin M50 motorway case study. • Effects of leader roles, time of day, and powertrain mix on CAV platooning are evaluated. • Maps time-dependent tipping points for optimal connected vehicle deployment. • Quantifies energy and emissions for petrol, diesel, and battery electric fleets. • Platooning improves efficiency, BEV energy savings, and resilience to lane closures.

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Publication Details

Journal
Transportation Engineering
Published
2026-03-23
DOI
https://doi.org/10.1016/j.treng.2026.100433
Primary Topic
Traffic control and management
Type
article
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article

Impact of cooperative autonomous vehicle platooning on highway traffic efficiency and carbon emissions

Arif Hossan, Muhammad Yeasir Arafat, He Huang, Md. Noor-A-Rahim et al.
Transportation Engineering
Traffic control and management
article

Impact of cooperative autonomous vehicle platooning on highway traffic efficiency and carbon emissions

Arif Hossan, Muhammad Yeasir Arafat, He Huang, Md. Noor-A-Rahim, Xu Zhu, Jin Li, Yixin Wang, Jize Jiang
article en

Abstract

Connected and automated vehicle (CAV) platooning is widely regarded as a key enabler of improved motorway efficiency, safety, and environmental performance. However, current evidence remains dispersed across heterogeneous experimental configurations, resulting in limited comparability and a scarcity of motorway-scale evaluations based on consistent performance metrics. This work develops a simulation-based, fully reproducible evaluation framework and applies it to Dublin’s M50 motorway to quantify safety efficiency trade-offs, environmental impacts, and incident resilience in mixed CAV and human-driven traffic. Five experimental scenarios are formulated to: (i) calibrate platoon-control aggressiveness and vehicle-following parameters for balanced safety and throughput; (ii) determine time-of-day-dependent CAV penetration thresholds; (iii) assess leadership effects by comparing mixed platoons led by lower-level CAV (CAV2) and higher-level CAV (CAV4); (iv) characterize powertrain-dependent traffic and emission responses for petrol, diesel, and battery-electric vehicles; and (v) evaluate resilience under a standardized multi-lane closure. Results indicate that a moderately aggressive combination of vehicle-type and control-policy settings reduces time-to-collision conflicts while increasing network throughput, that higher lead-vehicle automation improves platoon stability, and that platooning reduces post-incident recovery time and near-collision risk. The proposed framework establishes motorway-scale benchmarks and provides actionable guidance for platoon-control tuning, leader assignment, and environmentally informed operational planning under realistic CAV penetration levels. • SIMPLA platoon controller is integrated with SUMO for Dublin M50 motorway case study. • Effects of leader roles, time of day, and powertrain mix on CAV platooning are evaluated. • Maps time-dependent tipping points for optimal connected vehicle deployment. • Quantifies energy and emissions for petrol, diesel, and battery electric fleets. • Platooning improves efficiency, BEV energy savings, and resilience to lane closures.

Transportation EngineeringVol. 24
Climate action
Openalex Percentile: Top 11%
Traffic control and management
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