Procjena prilagodljivosti elektroničke identifikacije vozila u gradskom prometu: analiza slučaja Pekinga

Original scientific paper Electronic vehicle identification (EVI) technology is often introduced to implement congestion-based toll. This paper presented an ex ante evaluation method for EVI adaptability and discussed the feasibility of this technology in congestion charge on the basis of assessment. First, system dynamics was introduced to qualitatively analyze the effect of EVI on urban traffic systems with feedback chains. An EVI adaptability evaluation model was then developed based on principal component analysis (PCA) and data envelopment analysis (DEA). Given numerous output variables, a PCA model was built to reduce variable dimensionalities. Subsequently, two scenarios of EVI application under a congestion-based toll in Beijing were presented and calculated according to field data. Scenario 1 covered 5 % of the total vehicles, as well as the toll zone within the 2nd Ring Road. Meanwhile, scenario 2 covered 5 % more vehicles and included Zhongguancun West District based on scenario 1. According to evaluation result, the adaptability classifications of scenarios 1 and 2 were identified as basic adaptive & adaptive respectively, and that scenario 2 was more adaptive and feasible than scenario 1. In addition, the adaptability trends of the two scenarios between 2003 and 2012 were analyzed and proved to be consistent with the practical situation. The findings had significant implications for policy makers who determined the priority domains of internet of things technology applications by assessing the adaptability of these technologies before deployment.

[1]  Di Ma,et al.  A Context-Aware Approach for Enhanced Security and Privacy in RFID Electronic Toll Collection Systems , 2011, 2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN).

[2]  Phil Blythe RFID for road tolling, road-use pricing and vehicle access control , 1999 .

[3]  K E Haynes,et al.  ANALYTICAL ALTERNATIVES IN INTELLIGENT TRANSPORTATION SYSTEM (ITS) EVALUATION. IN: ECONOMIC IMPACTS OF INTELLIGENT TRANSPORTATION SYSTEMS: INNOVATIONS AND CASE STUDIES , 2004 .

[4]  Jian John Lu,et al.  Automatic Vehicle Identification Technology Applications to Toll Collection Services , 1997 .

[5]  Tarek Sayed,et al.  Simulation and Evaluation of Automated Vehicle Identification at Weigh-in-Motion Inspection Stations , 2010 .

[6]  Wei Cheng,et al.  Virtual track: applications and challenges of the RFID system on roads , 2014, IEEE Network.

[7]  H. Marais,et al.  Modelling of an RFID-based electronic vehicle identification system , 2013, 2013 Africon.

[8]  Mette Asmild,et al.  Measuring overall efficiency and effectiveness using DEA , 2007, Eur. J. Oper. Res..

[9]  C Michael Walton,et al.  Electronic Vehicle Identification: Industry Standards, Performance, and Privacy Issues , 2007 .

[10]  Mario Gerla,et al.  Installation and evaluation of RFID readers on moving vehicles , 2009, VANET '09.

[11]  T. Warden,et al.  An Internet of Things for Transport Logistics - An Approach to Connecting the Information and Material Flows in Autonomous Cooperating Logistics Processes , 2010 .

[12]  William H. K. Lam,et al.  Application of automatic vehicle identification technology for real-time journey time estimation , 2011, Inf. Fusion.

[13]  Wei Guan,et al.  Analysis of ITMS System Impact Mechanism in Beijing Based on FD and Traffic Entropy , 2012 .

[14]  Joan García-Haro,et al.  RFID Reader Scheduling for Reliable Identification of Moving Tags , 2013, IEEE Transactions on Automation Science and Engineering.

[15]  Sangdo Park,et al.  Self-Recognition of Vehicle Position Using UHF Passive RFID Tags , 2013, IEEE Transactions on Industrial Electronics.

[16]  Mohamed M. Ahmed,et al.  The Viability of Using Automatic Vehicle Identification Data for Real-Time Crash Prediction , 2012, IEEE Transactions on Intelligent Transportation Systems.

[17]  Minghe Yu,et al.  An RFID electronic tag based automatic vehicle identification system for traffic iot applications , 2011, 2011 Chinese Control and Decision Conference (CCDC).