TY - GEN
T1 - Car-following safety algorithms based on adaptive cruise control strategies
AU - Wuhong, Wang
AU - Wei, Zhang
AU - Herner, Bubb
PY - 2007
Y1 - 2007
N2 - Driving dynamic behaviour has been becoming increasingly complex in urban traffic, it is very difficulty to realistically measure the driver's car-following safety behaviour because some vehicles have been equipped with the ACC(Adaptive Cruise Control) system. In order to understand the acceleration and deceleration performance of ACC system, the comprehensive analysis of vehicle-to-vehicle safety interactions is very essential to devise some control laws for preventing rear-end collisions in the car-following situations. This paper presents the deceleration and acceleration algorithms for describing driver's car-following safety behaviour based on adaptive cruise control strategies, the main objectives of our research are to investigate driver's car-following safety behaviour by considering the influence of ACC, and then to develop an integrated car-following safety simulation for evaluating congested urban traffic at the microscopic level.
AB - Driving dynamic behaviour has been becoming increasingly complex in urban traffic, it is very difficulty to realistically measure the driver's car-following safety behaviour because some vehicles have been equipped with the ACC(Adaptive Cruise Control) system. In order to understand the acceleration and deceleration performance of ACC system, the comprehensive analysis of vehicle-to-vehicle safety interactions is very essential to devise some control laws for preventing rear-end collisions in the car-following situations. This paper presents the deceleration and acceleration algorithms for describing driver's car-following safety behaviour based on adaptive cruise control strategies, the main objectives of our research are to investigate driver's car-following safety behaviour by considering the influence of ACC, and then to develop an integrated car-following safety simulation for evaluating congested urban traffic at the microscopic level.
UR - https://www.scopus.com/pages/publications/48049101363
U2 - 10.1109/SISY.2007.4342639
DO - 10.1109/SISY.2007.4342639
M3 - Conference contribution
AN - SCOPUS:48049101363
SN - 1424414431
SN - 9781424414437
T3 - 5th International Symposium on Intelligent Systems and Informatics, SISY 2007
SP - 135
EP - 140
BT - 5th International Symposium on Intelligent Systems and Informatics, SISY 2007
T2 - 5th International Symposium on Intelligent Systems and Informatics, SISY 2007
Y2 - 24 August 2007 through 25 August 2007
ER -