In this contribution, we put forward a modelling framework for generic Advanced Driver Assistance Systems (ADAS) based on rolling horizon optimal control and design control algorithms for an Ecological Adaptive Cruise Control (EcoACC) system under this framework. The accelerations of EcoACC vehicles are determined by minimizing some predicted cost, and the optimal control problem is solved using a dynamic programming approach. The proposed algorithm is applied on a single lane ring road to examine the impacts of the EcoACC system employing the Eco-driving strategy comparison with a system employing an Efficient-driving strategy. Simulation results show that the Eco-driving strategy results in smoother vehicle behaviour compared to the driving strategies that only consider travel efficiency (Efficient-driving strategy). At the macroscopic level, the Eco-driving strategy results in a lower speed and lower flow at free traffic conditions, but a higher speed and higher flow at moderate congested conditions compared to the Efficient-driving strategy. From an environment perspective, the Eco-driving strategy results in a lower spatial CO2 emission rate. However, in the ring-road scenario where the demand is not fixed, the impact of the EcoACC system on total CO2 emissions is negative at moderate congested conditions, due to the high flow it supports.
Potential impacts of ecological adaptive cruise control systems on traffic and environment
IET Intelligent Transport Systems ; 8 , 2 ; 77-86
2014-03-01
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
dynamic programming approach , velocity control , eco-driving strategy , road vehicles , dynamic programming , ecology , generic advanced driver assistance systems , ADAS , optimal control , EcoACC system , design control algorithms , rolling horizon optimal control , ecological adaptive cruise control systems , air pollution , efficient-driving strategy , adaptive control , driver information systems , single lane ring road , carbon dioxide emission rate
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