Capability of Current Car-Following Models to Reproduce Vehicle Free-Flow Acceleration Dynamics

Microscopic traffic simulation models are widely used to assess the impact of measures and technologies on the road transportation system. The assessment usually involves several measures of performance, such as overall traffic conditions, travel time, energy demand/fuel consumption, emissions, and safety. In doing so, it is usually assumed that traffic models are able to capture not only traffic dynamics but also vehicle dynamics (especially to compute energy/fuel consumption, emissions, and safety). However, this is not necessarily the case with the possibility of achieving unreliable outcomes when extrapolating from traffic to measures of performance related to the vehicle dynamics. The objective of the present paper is to assess the capability of existing car-following models to reproduce observed vehicle acceleration dynamics. A set of experiments was carried out in the Vehicle Emissions Laboratories of the European Commission Joint Research Centre in order to generate relevant data sets. These experiments are used to test the performance of three well-known car-following models. Although all models have been largely tested against their capability to correctly reproduce traffic dynamics, the findings raise concerns about their capability (and thus of the traffic models using them) to predict the effect on the microscopic vehicle dynamics and thus on emissions and energy/fuel consumption. The results of the present work can be considered valid beyond the analyzed car-following models, as simple acceleration rules are usually assumed in the vast majority of the traffic simulation frameworks. Consequently, it can be concluded that there is a number.

[1]  Lei Yu,et al.  Optimization of Wiedemann and Fritzsche car-following models for emission estimation , 2015 .

[2]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

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

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

[5]  Biagio Ciuffo,et al.  Fuel consumption and CO2 emissions from passenger cars in Europe Laboratory versus real-world emissions , 2017 .

[6]  Marcello Montanino,et al.  Thirty Years of Gipps’ Car-Following Model , 2012 .

[7]  Zhaosheng Yang,et al.  Car-Following Models Study Progress , 2009, 2009 Second International Symposium on Knowledge Acquisition and Modeling.

[8]  Mohammed Yazan Madi,et al.  Investigating and Calibrating the Dynamics of Vehicles in Traffic Micro-simulations Models , 2016 .

[9]  Stefan Hausberger,et al.  Monitoring and Optimizing Coordinated Signal Control , 2016 .

[10]  Arnaud Can,et al.  Assessment of the impact of speed limit reduction and traffic signal coordination on vehicle emissions using an integrated approach , 2011 .

[11]  Wei Wang,et al.  Car-Following Model Calibration and Analysis of Intra-Driver Heterogeneity , 2010 .

[12]  D. Helbing Traffic and related self-driven many-particle systems , 2000, cond-mat/0012229.

[13]  Mashrur Chowdhury,et al.  An integrated modeling approach for facilitating emission estimations of alternative fueled vehicles , 2012 .

[14]  Cheol Oh,et al.  Emission evaluation of inter-vehicle safety warning information systems , 2015 .

[15]  Biagio Ciuffo,et al.  CO2 emissions and energy demands of vehicles tested under the NEDC and the new WLTP type approval test procedures , 2016 .

[16]  Tomer Toledo,et al.  Driving Behaviour: Models and Challenges , 2007 .

[17]  Ciuffo Biagio,et al.  The r-evolution of driving: from Connected Vehicles to Coordinated Automated Road Transport (C-ART) , 2017 .

[18]  Margaret Bell,et al.  Towards a real-time microscopic emissions model , 2001 .

[19]  K. Ahmed Modeling drivers' acceleration and lane changing behavior , 1999 .

[20]  R D Bretherton,et al.  SCOOT-a Traffic Responsive Method of Coordinating Signals , 1981 .

[21]  P. G. Gipps,et al.  A behavioural car-following model for computer simulation , 1981 .

[22]  Mike McDonald,et al.  Car-following: a historical review , 1999 .

[23]  Robin Smit Development and performance of a new vehicle emissions and fuel consumption software (PΔP) with a high resolution in time and space , 2013 .

[24]  Hesham Rakha,et al.  ESTIMATING VEHICLE FUEL CONSUMPTION AND EMISSIONS BASED ON INSTANTANEOUS SPEED AND ACCELERATION LEVELS , 2002 .

[25]  Hesham Rakha,et al.  An Enhanced Rakha-Pasumarthy-Adjerid Car-Following Model Accounting for Driver Behavior , 2017 .

[26]  Francois Dion,et al.  Vehicle Dynamics Model for Estimating Maximum Light-Duty Vehicle Acceleration Levels , 2004 .

[27]  Essam Radwan,et al.  VISSIM/MOVES integration to investigate the effect of major key parameters on CO2 emissions , 2013 .