
Yanrong Li
Impact of Time Gap Policies on Adaptive Cruise Control Performance.
Rel. Andrea Tonoli, Stefano Favelli. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2025
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Abstract: |
In recent years, the rapid advancement of autonomous driving and intelligent connected vehicle technologies has significantly accelerated the development and deployment of Advanced Driver Assistance Systems (ADAS). Among them, Adaptive Cruise Control (ACC) plays a central role by automatically regulating inter-vehicle distance and longitudinal speed, thereby improving both driving safety and ride comfort. However, most existing commercial ACC systems still rely on a small set of predefined, discrete time gap values (e.g., 1.0 s, 1.5 s, 2.0 s), which lack adaptability to varying traffic conditions, driver intent, and road types. This rigidity limits the system’s ability to achieve an optimal trade-off among multiple performance objectives. This study investigates the impact of different time gap policies on the overall performance of ACC systems. A unified simulation platform was developed, comprising a vehicle dynamics model, a longitudinal controller, and three representative time gap strategies: Constant Time Gap (CTG), Constant Safety Factor (CSF), and Human Driving Behavior (HDB). These strategies were systematically tested under both urban and highway driving cycles—including WLTP Class 3, Artemis Urban, China City Cycle, HWFET, US06, and Artemis Motorway—using a multi-criteria evaluation framework that encompasses energy consumption, ride comfort, and following safety. Simulation results indicate that in urban environments, the HDB strategy—based on statistical modeling of naturalistic human driving behavior—demonstrates superior responsiveness and adaptability in handling frequent acceleration, deceleration, and short halts. In contrast, the CSF strategy, with its longer headway and speed-dependent safe distance formulation, exhibits significant advantages in highway scenarios by reducing acceleration fluctuations and stabilizing energy consumption. The CTG strategy, while structurally simple, achieves a balanced performance across all indicators, making it suitable as a conservative baseline. Notably, certain HDB configurations yielded higher energy consumption than the ACC-free baseline in high-speed conditions, highlighting the need for scenario-specific parameter tuning. |
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Relatori: | Andrea Tonoli, Stefano Favelli |
Anno accademico: | 2024/25 |
Tipo di pubblicazione: | Elettronica |
Numero di pagine: | 105 |
Soggetti: | |
Corso di laurea: | Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica) |
Classe di laurea: | Nuovo ordinamento > Laurea magistrale > LM-25 - INGEGNERIA DELL'AUTOMAZIONE |
Aziende collaboratrici: | Politecnico di Torino |
URI: | http://webthesis.biblio.polito.it/id/eprint/36497 |
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