The Impact of In-Vehicle Guidance Technology on the Driving Behavior of Connected Vehicles in Work Zone Scenarios

Connected work zones equipped with communication and guidance devices support real-time traffic guidance, representing the application of vehicular-infrastructure cooperation technology in work zones. Driver compliance is crucial for guidance effectiveness in connected work zones. However, research on in-vehicle guidance effects on driver behavior is lacking. This study aims to investigate the impact of factors related to in-vehicle guidance technology on the driving behavior of connected vehicles. This study reveals the impact of multi-channel format, reminder content, update frequency, and traffic volume on driver behavior. Speed, acceleration, longitudinal jerk, and speed limit compliance were selected as driver longitudinal behavior indicators. Lane change length, lateral jerk, and lane change compliance were used as lateral indicators. This study employed descriptive statistics, multifactor variance analysis, and chi-square tests to investigate the impact of factor variables related to in-vehicle guidance technology on the driving behavior of connected vehicles. The results indicated that there was no significant interaction among these four variables, and their impact on lateral indicators was relatively weak. While these four variables did not significantly affect speed limit compliance within longitudinal indicators, some of them had a significant impact on speed, acceleration, and longitudinal jerk within the longitudinal indicators. Higher traffic volume leads to increased acceleration and jerk, with drivers maintaining lower speeds. Image-based guidance outperforms audio while combining both is less effective. Frequent updates promote smoother driving. This study informs the design of future connected work zone guidance systems.