A driver-in-the-loop co-simulation framework for testing predictive EDAS for commercial vehicles in urban environments

[1]  Hermann Winner,et al.  Three Decades of Driver Assistance Systems: Review and Future Perspectives , 2014, IEEE Intelligent Transportation Systems Magazine.

[2]  Falko Dressler,et al.  Bridging worlds: Integrating hardware-in-the-loop testing with large-scale VANET simulation , 2018, 2018 14th Annual Conference on Wireless On-demand Network Systems and Services (WONS).

[3]  Jairo Espinosa,et al.  TraCI4Matlab: Enabling the Integration of the SUMO Road Traffic Simulator and Matlab® Through a Software Re-engineering Process , 2015 .

[4]  Daniel Krajzewicz,et al.  Recent Development and Applications of SUMO - Simulation of Urban MObility , 2012 .

[5]  Michael Stolz,et al.  A Virtual Development and Evaluation Framework for ADAS—Case Study of a P-ACC in a Connected Environment , 2018, Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions.

[6]  Steffen Lange,et al.  Predictive energy management in virtual driving tests , 2012 .

[7]  Markus Lienkamp,et al.  The Virtual Driving Coach - design and preliminary testing of a predictive eco-driving assistance system for heavy-duty vehicles , 2015 .

[8]  Xiaohua Zhao,et al.  Development of a driving simulator based eco-driving support system , 2015 .

[9]  Jakob Kaths,et al.  Co-simulation of the virtual vehicle in virtual traffic considering tactical driver decisions , 2019, SUMO.

[10]  Markus Lienkamp,et al.  Evaluation of driving behavior and the efficacy of a predictive eco-driving assistance system for heavy commercial vehicles in a driving simulator experiment , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

[11]  Abdeslam El Fergougui,et al.  A Comparative Study of Urban Road Traffic Simulators , 2016 .

[12]  Steven Liu,et al.  Eco-driving assistance system for electric vehicles based on speed profile optimization , 2014, 2014 IEEE Conference on Control Applications (CCA).

[13]  Aonghus McNabola,et al.  A critical review and assessment of Eco-Driving policy & technology: Benefits & limitations , 2014 .

[14]  Cristina Olaverri-Monreal,et al.  Connection of the SUMO Microscopic Traffic Simulator and the Unity 3D Game Engine to Evaluate V2X Communication-Based Systems , 2018, Sensors.

[15]  Emre Kural,et al.  Advanced co-simulation HMI environment for fully Electric Vehicles , 2014, 2014 IEEE International Electric Vehicle Conference (IEVC).

[16]  Michael Sivak,et al.  Eco-driving: Strategic, tactical, and operational decisions of the driver that influence vehicle fuel economy , 2012 .

[17]  J. Kaths,et al.  Integrated simulation of microscopic traffic flow and vehicle dynamics , 2016 .

[18]  Kareem Abdelgawad,et al.  Advanced Traffic Simulation Framework for Networked Driving Simulators , 2016 .

[19]  Sam Akehurst,et al.  Development and Field Trial of a Driver Assistance System to Encourage Eco-Driving in Light Commercial Vehicle Fleets , 2013, IEEE Transactions on Intelligent Transportation Systems.

[20]  Bogdan Ovidiu Varga,et al.  Design of Hybrid and Electric Drive Systems in the IPG TruckMaker Software Application , 2016 .