Design and Evaluation of V2X-Based Dynamic Bus Lanes

被引:5
作者
Xie, Meng [1 ]
Ramanathan, Saravanan [1 ]
Rau, Andreas [1 ]
Eckhoff, David [1 ]
Busch, Fritz [1 ]
机构
[1] TUMCREATE Ltd, Singapore 138602, Singapore
基金
新加坡国家研究基金会;
关键词
Vehicle dynamics; Roads; Vehicle-to-everything; Turning; Space vehicles; Resource management; Microscopy; Dynamic bus lane; microscopic traffic simulation; traffic impact analysis; V2X; PRIORITY; SIMULATION; TRANSIT; IMPACTS;
D O I
10.1109/ACCESS.2021.3117024
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In mixed traffic, the popularity of public transport (PT) is still affected by relatively low operating speeds compared to private vehicles. To overcome this, PT priority measures have been proposed and adopted extensively. However, existing solutions such as exclusive bus lanes or traffic signal priorities are often limited in terms of available road space or large-scale feasibility. In this paper, we propose a Vehicle-to-Vehicle/Infrastructure (V2X)-based dynamic PT priority concept in mixed traffic called Virtual Right of Way (VROW). Private vehicles in front of a PT vehicle make spaces through collaborative lane changes within a dynamic clearing distance computed based on the current traffic situation. This allows a more efficient allocation of road space while still maintaining a high level of PT priority. In this paper, we evaluate the potential traffic impacts of VROW on both PT and private vehicles by conducting microscopic traffic simulations within a small urban network and a highway scenario. Comparisons with mixed traffic and other existing bus lane priority strategies, in terms of operation and safety concerns, are analyzed and highlighted. Simulation results show that VROW improves the PT operational performance with only a marginal influence on private vehicles measured by their average travel time and the number of lane changes.
引用
收藏
页码:136094 / 136104
页数:11
相关论文
共 50 条
[41]   Learning-Based Robust Resource Allocation for Ultra-Reliable V2X Communications [J].
Wu, Weihua ;
Liu, Runzi ;
Yang, Qinghai ;
Shan, Hangguan ;
Quek, Tony Q. S. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (08) :5199-5211
[42]   Joint Vehicle Pairing, Spectrum Assignment, and Power Control for Sum-Rate Maximization in NOMA-Based V2X Underlaid Cellular Networks [J].
Xue, Tong ;
Zhang, Haixia ;
Ding, Hui ;
Yuan, Dongfeng .
IEEE INTERNET OF THINGS JOURNAL, 2025, 12 (12) :22337-22349
[43]   Synchronization Signal Design for Millimeter-Wave Cellular V2X Communications [J].
Kim, Yeong Jun ;
Lee, Jimin ;
Cho, Yong Soo .
IEEE COMMUNICATIONS LETTERS, 2021, 25 (02) :603-607
[44]   Graph Neural Networks and Deep Reinforcement Learning-Based Resource Allocation for V2X Communications [J].
Ji, Maoxin ;
Wu, Qiong ;
Fan, Pingyi ;
Cheng, Nan ;
Chen, Wen ;
Wang, Jiangzhou ;
Letaief, Khaled B. .
IEEE INTERNET OF THINGS JOURNAL, 2025, 12 (04) :3613-3628
[45]   Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications [J].
Zhang, Xinran ;
Peng, Mugen ;
Yan, Shi ;
Sun, Yaohua .
IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (07) :6380-6391
[46]   Cache-sharing Distributed Service Registry for Highly Dynamic V2X Environments [J].
Moon, HyeongCheol ;
Baek, KyeongDeok ;
Ko, In-Young .
2020 IEEE 44TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2020), 2020, :1123-1124
[47]   Spatial Distribution-Based Beam Design for Millimeter Wave V2V Communication Systems [J].
Kim, Keunwoo ;
Song, Jiho ;
Lee, Jong-Ho ;
Hyun, Seong-Hwan ;
Kim, Seong-Cheol .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2025, 73 (01) :648-661
[48]   Decentralized Multi-Agent DQN-Based Resource Allocation for Heterogeneous Traffic in V2X Communications [J].
Lee, Insung ;
Kim, Duk Kyung .
IEEE ACCESS, 2024, 12 :3070-3084
[49]   Dynamic Resource Reservation using Deep Reinforcement Learning: Optimizing Resource Allocation for Platoon-Based C-V2X Networks [J].
Khan, Irshad ;
Haladappa, Manjula Sunkadakatte .
ENGINEERING LETTERS, 2025, 33 (05) :1372-1381
[50]   V2X Resource Allocation Scheme Based on D2D Communication [J].
Zhang H.-B. ;
Xiang Y. ;
Liu K.-J. ;
Chen S.-X. .
Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2017, 40 (05) :92-97