Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time
By Behrang Asadi, Ardalan Vahidi. IEEE Transactions on Control Systems Technology, 2011
692 citations recorded by the source corpus.
Subfields: Automotive Engineering, Control and Systems Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/2eed330283eab386c8f4d1fb9a4f4873c8075d3f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Yeojun Kim
- Jacopo Guanetti
- B. van Arem
- Francesco Borrelli
- Bert van Wee
- Antonio Sciarretta
- Ardalan Vahidi
In Control and Systems Engineering
- Yeojun Kim
- Jacopo Guanetti
- Taketoshi Kawabe
- Markos Papageorgiou
- Md Abdus Samad Kamal
- Junichi Murata
- Masakazu Mukai
- Francesco Borrelli
In Transportation
- Dimitris Milakis
- Markos Papageorgiou
- Yeojun Kim
- Jacopo Guanetti
- B. van Arem
- Francesco Borrelli
- Bert van Wee
- Frank Witlox
Citations in the corpus
- Model Predictive Control of Vehicles on Urban Roads for Improved Fuel Economy (2013, background): “Utilizing the signal transition timing of the upcoming intersection, fuel consumption of a vehicle can also be reduced by avoiding aggressive braking [19], [20].”
- Eco-Cooperative Adaptive Cruise Control at Signalized Intersections Considering Queue Effects (2017, background): “Asadi and Vahidi applied traffic signal information to design optimal cruise speeds for probe vehicles to minimize the probability of stopping at signals during red indications [17].”
- A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalised intersection (2018, methodology): “Asadi and Vahidi (2011) calculated the optimal speed that reduces idling at red lights using the given future state of traffic lights and developed an optimisation-based MPC model to consider multiple objectives.”
- Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, methodology): “Recent studies on CACC for energy e ffi ciency have highlighted an inherent trade o ff be-tween air drag reduction (via reduced inter vehicular distance) and powertrain e ffi ciency.”
- Policy and society related implications of automated driving: A review of literature and directions for future research (2017, background): “Moreover, Ala, Yang, and Rakha (2016), Kamalanathsharma and Rakha (2016) and Asadi and Vahidi (2011) reported fuel savings up to 19%,”