Estimating fuel consumption and emissions based on reconstructed vehicle trajectories

SUMMARY Microscopic emission models are widely used in emission estimation and environment evaluation. Traditionally, microscopic traffic simulation models and probe vehicles are two sources of inputs to a microscopic emission model. However, they are not effective in reflecting all vehicles' real-world operating conditions. Using each vehicle's spot speed data recorded by detectors, this paper provides a new method to estimate all vehicles' real-world activities data. These data can then be used as inputs to a microscopic emission model to estimate vehicle fuel consumption and emissions. The main task is to reconstruct trajectory of each vehicle and calculate second-by-second speed and acceleration from the activities data. The Next Generation Simulation dataset and the Comprehensive Modal Emissions Model are used in this study to calculate and analyze the emission results for both lane-level and link-level. The results showed that using the proposed method for estimating vehicle fuel consumption and emissions is promising. Copyright © 2012 John Wiley & Sons, Ltd.

[1]  Ruimin Li,et al.  Evaluation of speed-based travel time estimation models , 2006 .

[2]  G. Kloot.  MELBOURNE'S ARTERIAL TRAVEL TIME SYSTEM , 1999 .

[3]  Hesham Rakha,et al.  A field evaluation case study of the environmental and energy impacts of traffic calming , 2009 .

[4]  Eugene R. Russell,et al.  Environmental impact of modern roundabouts , 2008 .

[5]  Hesham Rakha,et al.  Development of VT-Micro model for estimating hot stabilized light duty vehicle and truck emissions , 2004 .

[6]  Kay W. Axhausen,et al.  Optimization of Large Transport Networks Using the Ant Colony Heuristic , 2009, Comput. Aided Civ. Infrastructure Eng..

[7]  Meng Wang,et al.  Estimating Acceleration, Fuel Consumption, and Emissions from Macroscopic Traffic Flow Data , 2011 .

[8]  J. V. van Lint,et al.  Improving a Travel-Time Estimation Algorithm by Using Dual Loop Detectors , 2003 .

[9]  J. W. C. van Lint,et al.  Empirical Evaluation of New Robust Travel Time Estimation Algorithms , 2010 .

[10]  M. Abou Zeid,et al.  A statistical model of vehicle emissions and fuel consumption , 2002, Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems.

[11]  Steven Broekx,et al.  Modelling instantaneous traffic emission and the influence of traffic speed limits. , 2006, The Science of the total environment.

[12]  Benjamin Coifman,et al.  Estimating travel times and vehicle trajectories on freeways using dual loop detectors , 2002 .

[13]  Daiheng Ni,et al.  Trajectory Reconstruction for Travel Time Estimation , 2008, J. Intell. Transp. Syst..

[14]  Matthew Barth,et al.  Development of a Comprehensive Modal Emissions Model , 2000 .

[15]  Shauna L. Hallmark,et al.  Characterizing on-road variables that affect passenger vehicle modal operation , 2002 .

[16]  G. F. Newell.  A simplified theory of kinematic waves in highway traffic, part II: Queueing at freeway bottlenecks , 1993 .

[17]  Serge P. Hoogendoorn,et al.  A Robust and Efficient Method for Fusing Heterogeneous Data from Traffic Sensors on Freeways , 2010, Comput. Aided Civ. Infrastructure Eng..

[18]  Carlos F. Daganzo,et al.  Fundamentals of Transportation and Traffic Operations , 1997 .

[19]  Gordon E. Andrews,et al.  Quantifying the Effects of Traffic Calming on Emissions Using On-road Measurements , 2005 .

[20]  Lei Yu,et al.  Estimation of Fuel Efficiency of Road Traffic by Characterization of Vehicle-Specific Power and Speed Based on Floating Car Data , 2009 .

[21]  Kanok Boriboonsomsin,et al.  Impacts of freeway high-occupancy vehicle lane configuration on vehicle emissions , 2008 .

[22]  H. M. Zhang,et al.  A stochastic wave propagation model , 2008 .

[23]  J. M. D. Castillo.  Propagation of perturbations in dense traffic flow: a model and its implications , 2001 .

[24]  R. Jayakrishnan,et al.  General-Purpose Methodology for Estimating Link Travel Time with Multiple-Point Detection of Traffic , 2002 .

[25]  Hesham Rakha,et al.  The effects of route choice decisions on vehicle energy consumption and emissions , 2008 .

[26]  Lieuwe Krol.  The reconstruction of vehicle trajectories with dynamic macroscopic data , 2009 .

[27]  Dirk Helbing,et al.  Reconstructing the spatio-temporal traffic dynamics from stationary detector data , 2002 .