On the Impact of Virtual Traffic Lights on Carbon Emissions Mitigation

Considering that the transport sector is responsible for an increasingly important share of current environmental problems, we look at Intelligent Transportation Systems (ITS) as a feasible means of helping in solving this issue. In particular, we evaluate the impact in terms of Carbon Dioxide (CO2)emissions of Virtual Traffic Light (VTL), which is a recently proposed infrastructureless traffic control system solely based on Vehicle-to-Vehicle (V2V) communication. Our evaluation uses a real-city scenario in a complex simulation framework, involving microscopic traffic, wireless communication, and emission models. Compared with an approximation of the physical traffic light system deployed in the city, our results show a significant reduction on CO2 emissions when using VTLs, reaching nearly 20% under high-density traffic.

[1]  K. Izumi,et al.  Car navigation with route information sharing for improvement of traffic efficiency , 2004, Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749).

[2]  Huanyu Yue.  MESOSCOPIC FUEL CONSUMPTION AND EMISSION MODELING , 2008 .

[3]  R D Bretherton,et al.  THE SCOOT ON-LINE TRAFFIC SIGNAL OPTIMISATION TECHNIQUE , 1982 .

[4]  Dipti Srinivasan,et al.  Distributed Geometric Fuzzy Multiagent Urban Traffic Signal Control , 2010, IEEE Transactions on Intelligent Transportation Systems.

[5]  Ozan K. Tonguz,et al.  Stereoscopic aerial photography: an alternative to model-based urban mobility approaches , 2009, VANET '09.

[6]  D. S. Ouren,et al.  Roadless Space of the Conterminous United States , 2007, Science.

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

[8]  Aleksandar Stevanovic,et al.  Adaptive Traffic Control Systems: Domestic and Foreign State of Practice , 2010 .

[9]  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.

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

[11]  D. Helbing,et al.  Self-Stabilizing Decentralized Signal Control of Realistic , Saturated Network Traffic , 2022 .

[12]  Hannes Hartenstein,et al.  The impact of traffic-light-to-vehicle communication on fuel consumption and emissions , 2010, 2010 Internet of Things (IOT).

[13]  Klaus Wehrle,et al.  A Performance Comparison of Recent Network Simulators , 2009, 2009 IEEE International Conference on Communications.

[14]  João Barros,et al.  Large-scale simulation of V2V environments , 2008, SAC '08.

[15]  Reinhard German,et al.  Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis , 2011, IEEE Transactions on Mobile Computing.

[16]  Janet E. Williams,et al.  The geometrical design of signalised road traffic junctions , 1987, WSC '87.

[17]  Martin Treiber,et al.  An Open-Source Microscopic Traffic Simulator , 2010, IEEE Intelligent Transportation Systems Magazine.

[18]  Heikki Liimatainen,et al.  Utilization of Fuel Consumption Data in an Ecodriving Incentive System for Heavy-Duty Vehicle Drivers , 2011, IEEE Transactions on Intelligent Transportation Systems.

[19]  Hesham Rakha,et al.  Trip-Based Explanatory Variables For Estimating Vehicle Fuel Consumption and Emission Rates , 2002 .

[20]  Ricardo Fernandes,et al.  DIVERT for realistic simulation of heterogeneous vehicular networks , 2010, The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2010).

[21]  Vamsi Paruchuri,et al.  On Optimizing Traffic Signal Phase Ordering in Road Networks , 2010, 2010 29th IEEE Symposium on Reliable Distributed Systems.

[22]  R Akcelik,et al.  Operating cost, fuel consumption and emission models in aaSIDRA and aaMOTION , 2007 .

[23]  Liviu Iftode,et al.  TrafficView: traffic data dissemination using car-to-car communication , 2004, MOCO.

[24]  Guohui Zhang,et al.  Optimizing Minimum and Maximum Green Time Settings for Traffic Actuated Control at Isolated Intersections , 2011, IEEE Transactions on Intelligent Transportation Systems.

[25]  Shin Kato,et al.  Energy ITS: another application of vehicular communications , 2010, IEEE Communications Magazine.

[26]  R. D. Bretherton,et al.  Optimizing networks of traffic signals in real time-the SCOOT method , 1991 .

[27]  Liviu Iftode,et al.  Adaptive Traffic Lights Using Car-to-Car Communication , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[28]  P R Lowrie,et al.  The Sydney coordinated adaptive traffic system - principles, methodology, algorithms , 1982 .

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

[30]  Junichi Murata,et al.  Ecological Vehicle Control on Roads With Up-Down Slopes , 2011, IEEE Transactions on Intelligent Transportation Systems.

[31]  Hesham A Rakha,et al.  Impact of Stops on Vehicle Fuel Consumption and Emissions , 2003 .

[32]  Vicente Milanés Montero,et al.  Controller for Urban Intersections Based on Wireless Communications and Fuzzy Logic , 2010, IEEE Transactions on Intelligent Transportation Systems.

[33]  Christian Maihöfer,et al.  A survey of geocast routing protocols , 2004, IEEE Commun. Surv. Tutorials.

[34]  Matthew Barth,et al.  Development of Comprehensive Modal Emissions Model: Operating Under Hot-Stabilized Conditions , 1997 .

[35]  Ozan K. Tonguz,et al.  Self-organized traffic control , 2010, VANET '10.

[36]  Reinhard German,et al.  Emissions vs. Travel Time: Simulative Evaluation of the Environmental Impact of ITS , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[37]  Elliot W. Martin,et al.  Greenhouse Gas Emission Impacts of Carsharing in North America , 2011, IEEE Transactions on Intelligent Transportation Systems.

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

[39]  AVCS Platooning,et al.  Vehicle-to-Vehicle Communications For AVCS Platooning , 1996 .

[40]  Yang Wang,et al.  Adaptive traffic signal control using vehicle-to-infrastructure communication: a technical note , 2010, IWCTS '10.

[41]  Margaret Bell,et al.  Environmental factors in intelligent transport systems , 2006 .