Highway accidents significantly impact normal traffic flow. Consequently, automatic detection of abnormal traffic events has gradually attracted the attention of researchers interested in intelligent transportation system. This work presents a vision-based approach for automatic traffic congestion and incident detection. The proposed approach involves extracting entropy-based features to create...

In this paper we study the effect of vehiclevehicle/vehicle-roadside communication on the performance of adaptive cruise control (ACC) systems. Two simulation works are presented. One is a single ACC vehicle simulation using MATLAB/SIMULINK. A cut-in scenario and a braking scenario are tested. Communication greatly saves control effort in the former scenario, while has little effect in the latt...

direct yaw moment control systems (dyc) can maintain the vehicle in the driver’s desired path by distributing the asymmetric longitudinal forces and the generation of the control yaw moment (cym). in order to achieve the superior control performance, intelligent usage of lateral forces is also required. the lateral wheel forces have an indirect effect on the cym and based upon their directions,...

human factors issues associated with roadway design and operations are critical components of improving highway safety. first, the three major components of highway safety are driver behavior, vehicle safety, and roadway safety. the general philosophy in roadside safety follows the priorities of (1) remove the hazard, (2) relocate the hazard, (3) make the hazard forgiving, and (4) shield the ha...

Modeling human control strategy (HCS) is becoming an increasingly popular paradigm in a number of different research areas, ranging from robotics and intelligent vehicle highway systems to expert training and virtual reality computer games. Usually, HCS models are derived empirically, rather than analytically, from real-time human input–output data. While these empirical models offer an effecti...

13 Modeling human control strategy (HCS) is becoming an increasingly popular paradigm in a number of different research areas, ranging from robotics and intelligent vehicle highway systems to expert training and virtual reality computer games. Usually, HCS models are derived empirically, rather than analytically, from real-time human input–output data. While these empirical models offer an effe...

With the rapid development of intelligent vehicles and Advanced Driver-Assistance Systems (ADAS), a new trend is that mixed levels human driver engagements will be involved in transportation system. Therefore, necessary visual guidance for drivers vitally important under this situation to prevent potential risks. To advance systems, we introduce novel vision-cloud data fusion methodology, integ...