Construction of driving methods for removing multiple-lane highway traffic jam using mathematical modeling

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K03749
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 12040:Applied mathematics and statistics-related
• Research Institution: Tottori University
• Principal Investigator: Nishi Ryosuke 鳥取大学, 工学研究科, 准教授 (10727093)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: 交通渋滞 / 複数車線 / 渋滞吸収運転 / MGD Algorithm / 二次渋滞 / Linear String Stability

Outline of Final Research Achievements

In the Multi-lane Green Driving (MGD) algorithm, which is a driving method to remove traffic jam on N-lane roads by n slowly moving vehicles lined up in a row (N is larger than n), we have found the parameter region where the traffic jam is removed and the secondary jam is theoretically restricted. We have developed a rendezvous-type MGD algorithm, which starts before slowly moving vehicles line up in a row. We have constructed a condition such that slowly moving vehicles deployed in regular intervals can keep removing traffic jam caused by a lane-reduction point, and found the parameter region where the condition is satisfied. As a basic research, we have clarified the system-size dependence of a jam-absorption driving against traffic jam caused by a sag on a single-lane road.

Free Research Field

交通流

Academic Significance and Societal Importance of the Research Achievements

MGD Algorithmにおける二次渋滞の抑制を理論的に保証したこと，および，ランデブー型のMGD Algorithmを構築したことは，複数車線上の渋滞を除去する運転方法の実用化に寄与すると期待される．本研究で構築した，一定台数間隔で配置した低速車によって車線減少部で発生する渋滞を継続的に除去可能な条件は，低速車を用いた渋滞除去における指針として寄与すると期待される．単車線道路上のサグ部における渋滞吸収運転のシステムサイズ依存性は，今後の複数車線道路上のボトルネック渋滞緩和に向けての基礎的な知見として寄与すると期待される．