| [1] |
Siri S, Pasquale C, Sacone S, Ferrara A. 2021. Freeway traffic control: a survey. |
| [2] |
Grumert EF, Tapani A, Ma X. 2018. Characteristics of variable speed limit systems. |
| [3] |
Gomes G, Horowitz R. 2006. Optimal freeway ramp metering using the asymmetric cell transmission model. |
| [4] |
Cheng Y, Chang GL. 2021. Arterial-friendly local ramp metering control strategy. |
| [5] |
Cheng Y, Chen YY, Chang GL. 2022. Real-time arterial-friendly ramp metering system. |
| [6] |
Frejo JRD, Papamichail I, Papageorgiou M, De Schutter B. 2019. Macroscopic modeling of variable speed limits on freeways. |
| [7] |
Liu H, Zhang L, Sun D, Wang D. 2015. Optimize the settings of variable speed limit system to improve the performance of freeway traffic. |
| [8] |
Li Z, Liu P, Xu C, Duan H, Wang W. 2017. Reinforcement learning-based variable speed limit control strategy to reduce traffic congestion at freeway recurrent bottlenecks. |
| [9] |
Guerrieri M, Mauro R. 2016. Capacity and safety analysis of hard-shoulder running (HSR): a motorway case study. |
| [10] |
Peng R, Yang M, Han Y, Zhang R, Zhang M. 2025. Control strategy of hard shoulder running at intelligent freeway merging areas based on deep reinforcement learning. |
| [11] |
Li D, Lasenby J. 2023. Mitigating urban motorway congestion and emissions via active traffic management. |
| [12] |
He Y, Wan Y, Wei K, Feng J, Quan C. 2023. Simulation research on collisions between highway corrugated beam guardrails and vehicles based on LS-DYNA. |
| [13] |
Aron M, Seidowsky R, Cohen S. 2013. Safety impact of using the hard shoulder during congested traffic. The case of a managed lane operation on a French urban motorway. |
| [14] |
Chen YY. 2026. Mitigating bottlenecks caused by freeway exiting flows' merging maneuvers to hard shoulder: an integrated proactive control. |
| [15] |
Carlson RC, de Lima ER, Müller ER, de Souza FA, Ampountolas K. 2024. Dynamic hard shoulder running lane control. Proc. 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), Valletta, Malta, 2024. US: IEEE. pp. 1387–1392 doi: 10.1109/CoDIT62066.2024.10708273 |
| [16] |
Ali Silgu M, Erdağı İG, Göksu G, Celikoglu HB. 2022. Combined control of freeway traffic involving cooperative adaptive cruise controlled and human driven vehicles using feedback control through SUMO. |
| [17] |
Ma M, Yang W, Liang S, Wang Y. 2025. Balancing traffic and charging efficiency for EVs in freeway bottlenecks: charging (low-SOC) or fast passage (high-SOC). |
| [18] |
Yao J, Qian Y, Feng Z, Zhang J, Zhang H, et al. 2024. Hidden Markov model-based dynamic hard shoulders running strategy in hybrid network environments. |
| [19] |
Feng B, Guo H, Ma M, Wu Y, Liang S, et al. 2025. Platoon control method for mixed traffic flow at signalized intersection considering the backward-looking effect. |
| [20] |
Gao H, Ma M, Liang S, Yang J. 2025. Vehicle following dynamics model for curves incorporating cross slope angle with applicability to straight and transition curve. |
| [21] |
Ping H, Zhang J, Qian Y, Chen D, Wang J, et al. 2026. Scenario-adaptive dynamic hard shoulder running strategy based on multi-segment expressway congestion forecasting using video surveillance. |
| [22] |
Zou S, Chen H, Feng H, Xiao G, Qin Z, et al. 2023. Traffic flow video image recognition and analysis based on multi-target tracking algorithm and deep learning. |
| [23] |
Meimetis D, Daramouskas I, Perikos I, Hatzilygeroudis I. 2023. Real-time multiple object tracking using deep learning methods. |
| [24] |
Luo X, Wang Y, Cai B, Li Z. 2021. Moving object detection in traffic surveillance video: new MOD-AT method based on adaptive threshold. |
| [25] |
Cai B, Feng Y, Wang X, Quddus M. 2024. Highly accurate deep learning models for estimating traffic characteristics from video data. |
| [26] |
Blandin S, Argote J, Bayen AM, Work DB. 2013. Phase transition model of non-stationary traffic flow: definition, properties and solution method. |
| [27] |
Shao Q, Piao X, Yao X, Kong Y, Hu Y, et al. 2024. An adaptive composite time series forecasting model for short-term traffic flow. |
| [28] |
Zou Y, Chen Y, Xu Y, Zhang H, Zhang S. 2024. Short-term freeway traffic speed multistep prediction using an iTransformer model. |
| [29] |
Zhang H, Zou Y, Yang X, Yang H. 2022. A temporal fusion transformer for short-term freeway traffic speed multistep prediction. |
| [30] |
Laval JA. 2011. Hysteresis in traffic flow revisited: an improved measurement method. |
| [31] |
Chen D, Laval JA, Ahn S, Zheng Z. 2012. Microscopic traffic hysteresis in traffic oscillations: a behavioral perspective. |
| [32] |
Yang H, Guo K, Zhang J, Liu L. 2025. Improved YOLOv8-based multivariate hidden highway subgrade disease intelligent recognition. |
| [33] |
Crowston K, Myers MD. 2004. Information technology and the transformation of industries: three research perspectives. |
| [34] |
Whitaker RT, Mirzargar M, Kirby RM. 2013. Contour boxplots: a method for characterizing uncertainty in feature sets from simulation ensembles. |
| [35] |
Wen Y, Zhang S, Zhang J, Bao S, Wu X, et al. 2020. Mapping dynamic road emissions for a megacity by using open-access traffic congestion index data. |
| [36] |
Chen P. 2021. Effects of the entropy weight on TOPSIS. |
| [37] |
Ni M, He Q, Gao J. 2017. Forecasting the subway passenger flow under event occurrences with social media. |
| [38] |
Liang C, Xu X, Auger DJ, Wang F, Zhou Z. 2025. Optimized coordinated control strategy for dual-motor hybrid powertrain with actuator response hysteresis: minimizing effects of network-induced delays. |
| [39] |
Gao Y, Wang Y, Sai Q. 2025. Estimating energy consumption rates for battery electric truck based on real-world data. |
| [40] |
Taher YH, Mandeep JS, Marhoon HA, Al-Jamimi HA, Luqman H, et al. 2026. Traffic congestion estimation and control: a comprehensive review of the applied computational intelligence models. |
| [41] |
Harrou F, Zeroual A, Kadri F, Sun Y. 2024. Enhancing road traffic flow prediction with improved deep learning using wavelet transforms. |
| [42] |
Li Y, Xu H, Zhang T, Li X, Li G, et al. 2024. DDGformer: direction- and distance-aware graph transformer for traffic flow prediction. |