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Energy ITS:Another Application of Vehicular Communication. ------ETC-Based dynamic traffic light control for reducing vehicles CO 2 emissions. Background (1/2). Green House Gas Global Warming Vehicles CO 2 emission Total CO 2 emission
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Energy ITS:Another Application of Vehicular Communication ------ETC-Based dynamic traffic light control for reducing vehicles CO2 emissions
Background (1/2) • Green House Gas Global Warming • Vehicles CO2 emission Total CO2 emission • Eco-Driving • Vehicle-to-grid
Background (2/2) • Vehicles CO2 emissions: Running &Idling • Vehicles short time stops cost more fuel consumptions • Smoothing vehicles travel – eco-driving • How ? Using ETC installed vehicles to control the traffic lights • Traffic light control for reduce waiting time • Given recommended speed for decreasing stop times direct indirect
Research Objects For reducing CO2 emissions Using traffic light control scheme to smooth vehicles travells. For smoothing vehicles travels • Real time traffic flow information is needed For Real time traffic flow detection Road-to-vehicle and vehicle-to-vehicle communication
Research Scheme (1/2) • Real time traffic flow detection • 1)ETC is used for automatic toll collection in highway by non-stop charging. 2)By the antennas (RSU)) in highway lanes and ETC in-vehicle devices (OBU).3)Wireless Communication between OBU and RSU is based on Dedicated Short Range Communications (DSRC)
Research Scheme(2/2) Smoothing vehicles travel 1.Traffic light control Aim to: reduce vehicles waiting time by control the vehicles passing orders. 2.Speed control Aim to: reduce vehicles’ probable stop times, and give the drivers recommended speeds for passing intersection with less stop times.
VANETs for Energy ITS (1/2) B Fig.3 An Intersection Model
VANETs for Energy ITS (2/2) • Why and how contribute to the future wireless networks? • Intelligent Transport System (ITS), Global warming and CO2 emissions • The ITS can contribute to the energy saving on two aspects: • One is to eliminate the congestion, which enables each vehicles to drive at the fuel optimal speeds; • The other is to provide means for modal shift, which improve road safety. • CO2 emission reduction and energy saving • Traffic control and ETC
A case of study Case Introduction Compared with fuzzy adaptive control scheme. Fig.7 Simulation Map Fig.8 Fluctuation of Traffic Volume 9
Simulation Results (1/4) Average travel time and waiting time from S to D Fig.9 Average Travel Time(R1 and R2) Fig.10 Average Waiting Time(R1 and R2) 10
Simulation Results (2/4) Non-stop passing rate & average stop times from S to D Fig.12 Average Stop Times from S to D(R1 and R2) Fig.11 Non-stop Passing Rate from S to D(R1 and R2) 11
Simulation Results (3/4) Non-stop passing rate in intersection 3 and 4 Fig.13 Non-stop Passing Rate ( Intersection3) Fig.14 Non-stop Passing Rate (Intersection 4) 12
Simulation Results (4/4) Average CO2 reduction from S to D (R1 and R2) Fig.15 Average CO2 Reduction from S to D(R 1 and R 2) Fig.16 CO2 Reduction Percentage from S to D(R 1 and R 2) 13
Challenge • 1.Not All vehicles installed the ETC devices, the communication among V2V and V2I may unavailable • Not all drivers obey the recommended speed, introduce a index to indicate the obey percentage. • Interferences exit when communication happens(V2V, V2I). Propose a Headway based emergency message probabilistic propagation.