Car-following Model of Connected Cruise Control Vehicles to Mitigate Traffic Oscillations
Abstract
With the aim of mitigating traffic oscillations, this paper extends a car-following model for Connected Cruise Control (CCC) systems by considering electronic throttle angles of multiple cars ahead. The linear stability condition of the proposed model is derived and numerical simulations are performed. It has been found that the proposed model is prominently better than the previous model, i.e. full velocity difference model, from the perspective of mitigating traffic oscillations. Additionally, the proposed model can also reduce fuel consumption, emissions, i.e. CO, HC and NOX, safety risk, and improve driving comfort at the same time. Simulation results suggest that the CCC car-following control design should consider the effect of multiple electronic throttle angles from the preceding cars.
References
Pipes LA. An operational analysis of traffic dynamics. Journal of Applied Physics. 1953;24(3): 274-281.
Newell GF. Nonlinear effects in the dynamics of car following. Operations Research. 1961;9(2): 209-229.
Bando M, Hasebe K, Nakayama A, et al. Dynamical model of traffic congestion and numerical simulation. Physical Review E. 1995;51(2): 1035-1042.
Jiang R, Wu Q, Zhu Z. Full velocity difference model for a car-following theory. Physical Review E. 2001;64(1): 017101.
Treiber M, Hennecke A, Helbing D. Congested traffic states in empirical observations and microscopic simulations. Physical Review E. 2000;62(2): 1805-1824.
Wang H, Wang W, Chen J. General Newell model and related second-order expressions. Transportation Research Record: Journal of the Transportation Research Board. 2011;2260: 42-49.
Wang H, Li Y, Wang W, et al. Optimal velocity model with dual boundary optimal velocity function. Transportmetrica B: Transport Dynamics. 2017;5(2): 215-232.
Ntousakis IA, Nikolos IK, Papageorgiou M. On microscopic modelling of adaptive cruise control systems. Transportation Research Procedia. 2015; 6: 111-127.
Milanés V, Shladover SE. Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data. Transportation Research Part C: Emerging Technologies. 2014;48: 285-300.
Qin YY, Wang H. Analytical framework of string stability of connected and autonomous platoons with electronic throttle angle feedback. Transportmetrica A: Transport Science. 2018; 1-22. Available from: doi:10.1080/23249935.2018.1518964
Mahmassani HS. 50th anniversary invited article—autonomous vehicles and connected vehicle systems: Flow and operations considerations. Transportation Science. 2016;50(4): 1140-1162.
Ge JI, Orosz G. Dynamics of connected vehicle systems with delayed acceleration feedback. Transportation Research Part C: Emerging Technologies. 2014;46: 46-64.
Tang TQ, Li CY, Huang HJ. A new car-following model with the consideration of the driver's forecast effect. Physics Letters A. 2010;374(38): 3951-3956.
Ioannou P, Xu Z. Throttle and brake control systems for automatic vehicle following. Journal of Intelligent Transportation Systems. 1994;1(4): 345-377.
Li K, Ioannou P. Modeling of traffic flow of automated vehicles. IEEE Transactions on Intelligent Transportation Systems. 2004;5(2): 99-113.
Fernandes P, Nunes U. Multiplatooning leaders positioning and cooperative behavior algorithms of communicant automated vehicles for high traffic capacity. IEEE Transactions on Intelligent Transportation Systems. 2015;16(3): 1172-1187.
Li Y, Zhang L, Peeta S, et al. A car-following model considering the effect of electronic throttle opening angle under connected environment. Nonlinear Dynamics. 2016;85(4): 2115-2125.
Li XP, Cui JX, An S, et al. Stop-and-go traffic analysis: theoretical properties, environmental impacts and oscillation mitigation. Transportation Research Part B: Methodological. 2014;70: 319-339.
Wang H, Wang W, Chen J, et al. Estimating equilibrium speed-spacing relationship from dynamic trajectory data. Proceedings of the 91rd Annual Meeting of the Transportation Research Board. Washington DC: TRB; 2012.
Treiber M, Kesting A, Helbing D. Influence of reaction times and anticipation on stability of vehicular traffic flow. Transportation Research Record: Journal of the Transportation Research Board. 2007;1999: 23-29.
Wilson RE. Mechanisms for spatio-temporal pattern formation in highway traffic models. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences. 2008;366(1872): 2017-2032.
Treiber M, Kesting A. Traffic Flow Dynamics: Data, Models and Simulation. Berlin, Heidelberg: Springer-Verlag; 2013.
Gong S, Shen J, Du L. Constrained optimization and distributed computation based car following control of a connected and autonomous vehicle platoon. Transportation Research Part B: Methodological. 2016;94: 314-334.
Shladover SE, Nowakowski C, Lu XY, et al. Cooperative adaptive cruise control: Definitions and operating concepts. Transportation Research Record: Journal of the Transportation Research Board. 2015;2489: 145-152.
Ahn K, Rakha H, Trani A, et al. Estimating vehicle fuel consumption and emissions based on instantaneous speed and acceleration levels. Journal of Transportation Engineering. 2002;128(2): 182-190.
Tang TQ, Huang HJ, Shang HY. Influences of the driver’s bounded rationality on micro driving behavior, fuel consumption and emissions. Transportation Research Part D: Transport and Environment. 2015;41: 423-432.
Meng Q, Weng J. Evaluation of rear-end crash risk at work zone using work zone traffic data. Accident Analysis & Prevention. 2011;43(4): 1291-1300.
Paddan GS, Griffin MJ. Evaluation of whole-body vibration in vehicles. Journal of Sound and Vibration. 2002;253(1): 195-213.
Copyright (c) 2019 Yanyan Qin
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).