Penetration and impact of advanced car technologies

Traffic congestion, pollution, crashes, and delays are still a major problem in many large metropolitan areas. Multiple ideas have been suggested to overcome these problems, ranging from safety systems that would lead to a reduction in severe injuries to road infrastructure that could help cope with traffic congestions. The incorporation of advanced and intelligent technologies in transportation systems could certainly lead to significantly better transportation systems and enhance transportation services. Hopefully, new technologies could contribute to the transport challenges we are facing today. While several technologies might look unrealistic, other are developed or used (e.g., autonomous vehicles, privately–owned flying cars).

[1]  Yoram Shiftan,et al.  Scenario building as a tool for planning a sustainable transportation system , 2003 .

[2]  Donald G. Janelle,et al.  Space–time constructs for linking information and communication technologies with issues in sustainable transportation , 2004 .

[3]  Christoph H. Loch,et al.  Quo Vadis, Automotive Industry? A Vision of Possible Industry Transformations , 2005 .

[4]  Christoph H. Loch,et al.  Vol de Nuit. The Dream of the Flying Car at Lemond Automobiles SA , 2003 .

[5]  Robert J. Vokurka,et al.  Delphi study on supply chain flexibility , 2005 .

[6]  T. Paulussen,et al.  Determinants of innovation within health care organizations: literature review and Delphi study. , 2004, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[7]  David F. Batten,et al.  THE FUTURE OF TRANSPORT AND INTERFACE COMMUNICATION: DEBATING THE SCOPE FOR SUBSTITUTION GROWTH , 1989 .

[8]  Heiko A. von der Gracht,et al.  The influence of information and communication technology (ICT) on future foresight processes — Results from a Delphi survey , 2014 .

[9]  I Salomon,et al.  EMERGING TRAVEL PATTERNS: DO TELECOMMUNICATIONS MAKE A DIFFERENCE? IN: IN PERPETUAL MOTION: TRAVEL BEHAVIOR RESEARCH OPPORTUNITIES AND APPLICATION CHALLENGES , 2002 .

[10]  George Wise.  The accuracy of technological forecasts, 1890–1940 , 1976 .

[11]  Carol Schweiger,et al.  Transit vehicle-to-infrastructure (V2I) applications : near term research and development : transit traveler information infrastructure mobility application : operational concept. , 2015 .

[12]  A Everett.  Piercing the veil of the future. A review of the Delphi method of research. , 1993, Professional nurse.

[13]  Detmar W. Straub,et al.  Testing the technology acceptance model across cultures: A three country study , 1997, Inf. Manag..

[14]  Søren L. Buhl,et al.  How (In)accurate Are Demand Forecasts in Public Works Projects?: The Case of Transportation , 2005, 1303.6654.

[15]  BudgenDavid,et al.  Does the technology acceptance model predict actual use? A systematic literature review , 2010 .

[16]  Uma G. Gupta,et al.  Theory and applications of the Delphi technique: A bibliography (1975–1994) , 1996 .

[17]  D. Banister,et al.  Impact of information and communications technology on transport , 2004 .

[18]  N. Kerr,et al.  Group-based forecasting?: A social psychological analysis , 2011 .

[19]  Paul Mulligan,et al.  Specification of a capability-based IT classification framework , 2002, Inf. Manag..

[20]  Amy Jacobi,et al.  Transit Vehicle-to-Infrastructure (V2I) Applications: Near Term Research and Development; Transit Bus Stop Pedestrian Safety Application: Operational Concept , 2014 .

[21]  Muhammad Amer,et al.  A review of scenario planning , 2013 .

[22]  Pearl Brereton,et al.  Does the technology acceptance model predict actual use? A systematic literature review , 2010, Inf. Softw. Technol..

[23]  V. Peterka,et al.  Macrodynamics of Technological Change: Market Penetration by New Technologies , 1977 .

[24]  Fei-Yue Wang,et al.  Data-Driven Intelligent Transportation Systems: A Survey , 2011, IEEE Transactions on Intelligent Transportation Systems.

[25]  J. Landeta.  Current validity of the Delphi method in social sciences , 2006 .

[26]  Gregory J. Skulmoski,et al.  Journal of Information Technology Education the Delphi Method for Graduate Research , 2022 .

[27]  Robert Fildes.  Scenarios: The Art of Strategic Conversation , 1998, J. Oper. Res. Soc..

[28]  P. J. Balducci,et al.  Plug-in Hybrid Electric Vehicle Market Penetration Scenarios , 2008 .

[29]  K. Czaplicka-Kolarz,et al.  Technology foresight for a vision of energy sector development in Poland till 2030. Delphi survey as an element of technology foresighting , 2009 .

[30]  George Wright,et al.  Expert Opinions in Forecasting: The Role of the Delphi Technique , 2001 .

[31]  Yoram Shiftan,et al.  User preferences regarding autonomous vehicles , 2017 .

[32]  P. Schoemaker.  Scenario Planning: A Tool for Strategic Thinking , 1995 .

[33]  Murray Turoff,et al.  Delphi: A brief look backward and forward , 2011 .

[34]  Peter Palmroos,et al.  The Delphi method in forecasting financial markets— An experimental study , 2014 .

[35]  Vladimir Modrak,et al.  Using the Delphi method in forecasting tourism activity , 2014 .

[36]  Zhaohui Wu,et al.  Intelligent Transportation Systems , 2006, IEEE Pervasive Computing.

[37]  Janet Stephenson,et al.  Interventions for a sustainable transport system for New Zealand: results from a Delphi study , 2017 .

[38]  Fredrik Tufvesson,et al.  Vehicle-to-Vehicle Communications , 2012 .

[39]  Gene Rowe,et al.  Judgment change during Delphi-like procedures: The role of majority influence, expertise, and confidence , 2004 .

[40]  Christian Wietfeld,et al.  Passive Detection of Wrong Way Drivers on Motorways Based on Low Power Wireless Communications , 2014, 2014 IEEE 79th Vehicular Technology Conference (VTC Spring).

[41]  Murray Turoff,et al.  The Delphi Method: Techniques and Applications , 1976 .

[42]  Rick Parente,et al.  A case study of long-term Delphi accuracy , 2011 .

[43]  Stefan Luckner,et al.  Prediction markets for foresight , 2010 .

[44]  Ilan Salomon,et al.  Telecommunications, cities and technological opportunism , 1996 .

[45]  C M Goodman,et al.  The Delphi technique: a critique. , 1987, Journal of advanced nursing.

[46]  Chelsea E. Berg,et al.  Building scenarios for ecosystem services tools: Developing a methodology for efficient engagement with expert stakeholders , 2016 .

[47]  Kouki Matsuse,et al.  Flying Cars: Challenges and Propulsion Strategies , 2016, IEEE Electrification Magazine.

[48]  Muhammad Imran Yousuf,et al.  Using Experts` Opinions Through Delphi Technique , 2007 .