Performance Measurement Evaluation Framework and Co-Benefit\/Tradeoff Analysis for Connected and Automated Vehicles (CAV) Applications: A Survey

A number of Connected and/or Automated Vehicle (CAV) applications have recently been designed to improve the performance of our transportation system. Safety, mobility and environmental sustainability are three cornerstone performance metrics when evaluating the benefits of CAV applications. These metrics can be quantified by various measures of effectiveness (MOEs). Most of the existing CAV research assesses the benefits of CAV applications on only one (e.g., safety) or two (e.g., mobility and environment) aspects, without holistically evaluating the interactions among the three types of MOEs. This paper first proposes a broad classification of CAV applications, i.e., vehicle-centric, infrastructure-centric, and traveler-centric. Based on a comprehensive literature review, a number of typical CAV applications have been examined in great detail, where a categorized analysis in terms of MOEs is performed. Finally, several conclusions are drawn, including the identification of influential factors on system performance, and suggested approaches for obtaining co-benefits across different types of MOEs.

[1]  Hani Ramezani,et al.  Optimized Speed Harmonization with Connected Vehicles for Work Zones , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

[2]  Guizhen Yu,et al.  Vehicle Collision Warning System and Algorithm at Intersection under Internet-Connected Vehicles Environment , 2012 .

[3]  Kun Zhou,et al.  Path2Go: Context-aware services for mobile real-time multimodal traveler information , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[4]  Jianqiang Wang,et al.  Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies , 2016, IEEE Transactions on Intelligent Transportation Systems.

[5]  Peng Hao,et al.  Developing a platoon-wide Eco-Cooperative Adaptive Cruise Control (CACC) system , 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).

[6]  Guoyuan Wu,et al.  Improving traffic operations using real-time optimal lane selection with connected vehicle technology , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.

[7]  Fenghua Zhu,et al.  Traffic signal coordination for emergency vehicles , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[8]  Matthew J. Barth,et al.  Eco-Routing Navigation System Based on Multisource Historical and Real-Time Traffic Information , 2012, IEEE Transactions on Intelligent Transportation Systems.

[9]  Guoyuan Wu,et al.  Power-Based Optimal Longitudinal Control for a Connected Eco-Driving System , 2016, IEEE Transactions on Intelligent Transportation Systems.

[10]  John B. Kenney,et al.  Dedicated Short-Range Communications (DSRC) Standards in the United States , 2011, Proceedings of the IEEE.

[11]  Flavien Balbo,et al.  Generic model for resource allocation in transportation. Application to urban parking management , 2016 .

[12]  N. S. Nafi,et al.  A VANET based Intelligent Road Traffic Signalling System , 2012, Australasian Telecommunication Networks and Applications Conference (ATNAC) 2012.

[13]  Kanok Boriboonsomsin,et al.  Dynamic Eco-Driving for Signalized Arterial Corridors and Its Indirect Network-Wide Energy/Emissions Benefits , 2013, J. Intell. Transp. Syst..

[14]  Jim Barbaresso,et al.  USDOT’s Intelligent Transportation Systems (ITS) ITS strategic plan, 2015-2019. , 2014 .

[15]  Tarak Gandhi,et al.  Pedestrian Protection Systems: Issues, Survey, and Challenges , 2007, IEEE Transactions on Intelligent Transportation Systems.

[16]  Guoyuan Wu,et al.  Developing and evaluating an eco-speed harmonization strategy for connected vehicles , 2015, 2015 International Conference on Connected Vehicles and Expo (ICCVE).

[17]  Christian Haupt,et al.  smartLDW: A smartphone-based local danger warning system , 2013, 2013 International Conference on Connected Vehicles and Expo (ICCVE).

[18]  L. Nouveliere,et al.  Speed Limitation Based on an Advanced Curve Warning System , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[19]  Hampton C. Gabler,et al.  Safety Benefits of Forward Collision Warning, Brake Assist, and Autonomous Braking Systems in Rear-End Collisions , 2012, IEEE Transactions on Intelligent Transportation Systems.

[20]  Jie Lin,et al.  Estimating Relevance for the Emergency Electronic Brake Light Application , 2012, IEEE Trans. Intell. Transp. Syst..

[21]  Gerd Wanielik,et al.  Situation Assessment for Automatic Lane-Change Maneuvers , 2010, IEEE Transactions on Intelligent Transportation Systems.

[22]  Jeroen Ploeg,et al.  Cooperative adaptive cruise control: An artificial potential field approach , 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

[23]  Pei Yulong,et al.  Study on Intelligent Lane Merge Control System for Freeway Work Zones , 2007, 2007 IEEE Intelligent Transportation Systems Conference.

[24]  Rosaldo J. F. Rossetti,et al.  Towards the integration of electric buses in conventional bus fleets , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

[25]  Sahin Albayrak,et al.  Vehicles of the Future: A Survey of Research on Safety Issues , 2017, IEEE Transactions on Intelligent Transportation Systems.

[26]  J. Olsen,et al.  The European Commission , 2020, The European Union.

[27]  Matthew Fullerton,et al.  Simulation study on improving traffic safety and traffic flow in the vicinity of a motorway accident through vehicle-to-vehicle communication , 2010 .

[28]  Guoyuan Wu,et al.  Evaluating the effectiveness of V2V-based Lane Speed Monitoring application: A simulation study , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

[29]  Shaojun Feng,et al.  An integrated solution for lane level irregular driving detection on highways , 2015 .

[30]  Vicente Milanés Montero,et al.  Automated On-Ramp Merging System for Congested Traffic Situations , 2011, IEEE Transactions on Intelligent Transportation Systems.

[31]  Jianqiang Wang,et al.  An overview of vehicular platoon control under the four-component framework , 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).

[32]  Hwasoo Yeo,et al.  Study on the framework of hybrid collision warning system using loop detectors and vehicle information , 2016 .

[33]  Mashrur Chowdhury,et al.  A Review of Communication, Driver Characteristics, and Controls Aspects of Cooperative Adaptive Cruise Control (CACC) , 2016, IEEE Transactions on Intelligent Transportation Systems.

[34]  João Luiz Afonso,et al.  Dynamic inductive power transfer lane design for e-bikes , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

[35]  Joan Garcia-Haro,et al.  A stochastic model for design and evaluation of chain collision avoidance applications , 2013 .

[36]  Tianyi Guan,et al.  Predictive energy efficiency optimization of an electric vehicle using information about traffic light sequences and other vehicles , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

[37]  Tao Chen,et al.  Intelligent Environment-Friendly Vehicles: Concept and Case Studies , 2012, IEEE Transactions on Intelligent Transportation Systems.

[38]  Jonathan Brembeck,et al.  Experimental investigation of online path planning for electric vehicles , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

[39]  A Guarise,et al.  Vulnerable road uses thoroughly addressed in accident prevention: the WATCH-OVER European project , 2007 .

[40]  Guoyuan Wu,et al.  Platoon-based multi-agent intersection management for connected vehicle , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

[41]  Christopher Monterola,et al.  Efficient Intersection Control for Minimally Guided Vehicles: A Self-Organised and Decentralized Approach , 2016, 1708.04553.

[42]  P. Mathias,et al.  Infrastructure-based vehicle maneuver estimation at urban intersections , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

[43]  Dilip Krishnaswamy,et al.  Smartphone based driver assistance system for coordinated lane change , 2015, 2015 International Conference on Connected Vehicles and Expo (ICCVE).

[44]  Hyungbae Park,et al.  WiFiHonk: Smartphone-Based Beacon Stuffed WiFi Car2X-Communication System for Vulnerable Road User Safety , 2014, 2014 IEEE 79th Vehicular Technology Conference (VTC Spring).

[45]  Juan Liu,et al.  An Efficient Computational Architecture for a Collision Early-Warning System for Vehicles, Pedestrians, and Bicyclists , 2011, IEEE Transactions on Intelligent Transportation Systems.

[46]  Yang Zheng,et al.  Distributed Model Predictive Control for Heterogeneous Vehicle Platoons Under Unidirectional Topologies , 2016, IEEE Transactions on Control Systems Technology.

[47]  Georgetown Pike,et al.  DEVELOPMENT AND TESTING OF DYNAMIC TRAFFIC ASSIGNMENT AND SIMULATION PROCEDURES FOR ATIS/ATMS APPLICATIONS , 1994 .

[48]  Guillaume Saint Pierre,et al.  An android based ecodriving assistance system to improve safety and efficiency of internal combustion engine passenger cars , 2015 .

[49]  Jianqiang Wang,et al.  Longitudinal collision mitigation via coordinated braking of multiple vehicles using model predictive control , 2015, Integr. Comput. Aided Eng..

[50]  Saïd Mammar,et al.  Driver Steering Assistance for Lane-Departure Avoidance Based on Hybrid Automata and Composite Lyapunov Function , 2010, IEEE Transactions on Intelligent Transportation Systems.

[51]  Hao Yang,et al.  Eco-Cooperative Adaptive Cruise Control at Signalized Intersections Considering Queue Effects , 2017, IEEE Transactions on Intelligent Transportation Systems.

[52]  Fawzi Nashashibi,et al.  Vehicle to pedestrian communications for protection of vulnerable road users , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.

[53]  Asma Munir Khan Intelligent infrastructure-based queue-end warning system for avoiding rear impacts , 2007 .

[54]  Huei Peng,et al.  Effect of Pulse‐and‐Glide Strategy on Traffic Flow for a Platoon of Mixed Automated and Manually Driven Vehicles , 2015, Comput. Aided Civ. Infrastructure Eng..

[55]  Guoyuan Wu,et al.  Eco-Friendly Freight Signal Priority using connected vehicle technology: A multi-agent systems approach , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.

[56]  Bo Chen,et al.  A Review of the Applications of Agent Technology in Traffic and Transportation Systems , 2010, IEEE Transactions on Intelligent Transportation Systems.

[57]  Li Keqiang,et al.  A lane change warning system based on V2V communication , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[58]  Yi Zhang,et al.  Development and Evaluation of High-Speed Differential Warning Application Using Vehicle-to-Vehicle Communication , 2017 .

[59]  Yang Li,et al.  Evaluation of Forward Collision Avoidance system using driver's hazard perception , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

[60]  Alexey V. Vinel,et al.  Study of the platooning fuel efficiency under ETSI ITS-G5 communications , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).