Merging Control Strategies of Connected and Autonomous Vehicles at Freeway On-Ramps: A Comprehensive Review

TL;DR

This paper reviews recent control strategies for CAVs at freeway on-ramp merges, highlighting technological advancements, categorizing approaches, and identifying research gaps to guide future developments.

Contribution

It provides a comprehensive categorization and analysis of existing CAV merging strategies, and discusses future research directions in this field.

Findings

Control strategies vary by merging scenario and traffic composition.

Technologies and decision methods significantly impact traffic efficiency and safety.

Identified gaps suggest promising areas for future research.

Abstract

On-ramp merging areas are typical bottlenecks in the freeway network, since merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and lead to various negative impacts on traffic efficiency and safety. The connected and autonomous vehicles (CAVs), with their capabilities of real-time communication and precise motion control, hold a great potential to facilitate ramp merging operation through enhanced coordination strategies. This paper presents a comprehensive review of the existing ramp merging strategies leveraging CAVs, focusing on the latest trends and developments in the research field. The review comprehensively covers 44 papers recently published in leading transportation journals. Based on the application context, control strategies are categorized into three categories: merging into sing-lane freeways with total CAVs, merging into sing-lane freeways with mixed traffic flows, and merging into multilane freeways. Relevant literature is reviewed regarding the required technologies, control decision level, applied methods, and impacts on traffic performance. More importantly, we identify the existing research gaps and provide insightful discussions on the potential and promising directions for future research based on the review, which facilitates further advancement in this research topic.