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Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the intelligent operation requirements of autonomous-rail rapid tram, this paper proposes a longitudinal intelligent control algorithm based on the driver behavior habit model. Firstly, it analyzes the ART operation scenarios and environmental conditions and introduces the multi-sensor perception fusion technology used to guarantee the 360° obstacle recognition without blind spots in the surrounding environment of trains and high-precision train positioning. And then, it presents the multi-mode division of longitudinal intelligent control designed in the finite-state machine (FSM) pattern and from simulation of drivers' behavior characteristics, and proposes the intelligent longitudinal control strategy and algorithm to enable the intelligent train operation control functions, such as autonomous following, automatic operation at traffic light intersections, automatic deceleration on curves, and parking at stations in high-precision alignment. According to the simulation results, using the developed longitudinal intelligent control algorithm, the test train can depart, accelerate, decelerate and stop stably following the train ahead, and automatically decelerate on curves and run passing traffic light intersections, with a speed control accuracy within ± 1 km / h, impact rate less than 0.75 m/s3, and alignment error for parking less than ± 0.21 m, demonstrating the effectiveness to reduce driving intensity for drivers, and improve the train running comfort and operating efficiency.

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Automobile Technology is the property of Automobile Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

For multi-lane objects identification of vehicle adaptive cruise control, the coordinates of on car radar is transformed and invalid objects are discarded based on lane information. Radar objects were tracked by comparing the radar information of current sample period with the predicted value of previous period. Object identification process was accomplished by applying threshold, sliding sample window and nearest object selection in different phases of calculation. In the curve road, norm central angle method was adopted for position compensation. Experiments indicate that the identification of multi-lane objects and curve road compensation could be realized in a satisfied way and the requirements of ACC system could be fulfilled. [ABSTRACT FROM AUTHOR]

An adaptive cruise control algorithm is proposed for electric vehicles to coordinate both its economy and safety. The effects of acceleration on the economy of electric vehicles are quantitatively analyzed and the performance indicators for both fuel economy and tracking safety are established. Model predictive control technique is adopted to conduct coordinated optimization on the performance indicators of the system. The results of both simulations and tests indicate that the algorithm proposed can effectively coordinate both economy and safety of electric vehicles. [ABSTRACT FROM AUTHOR]

To relieve driver's workload and improve driving safety and comfort, an algorithm with hierarchically configured architecture of adaptive cruise control (ACC) is proposed and it has been applied to vehicle by regulating the electronic throttle. In the upper layer control, a linear control algorithm depended on driver's steady car-following behavior and an alternative safe headway model was designed. In the bottom layer, the closed-loop velocity control strategy was constructed based on inverse query table. The throttle angle look-up table was set-up based on the knowledge acquired from vehicle test and precise velocity adjustment was applied with the increasing mode of PID control. Eventually, the good effect of velocity following was achieved. The cruise control and steady car-following experiments were implemented to verify the effectiveness of proposed control algorithm. The result shows that, the developed ACC controller can mitigate driving fatigue in normal driving situations effectively and has good performance of acceptance and comfort to driver. [ABSTRACT FROM AUTHOR]