Emission Mitigation via Longitudinal Control of Intelligent Vehicles in a Congested Platoon

Computer-Aided Civil and Infrastructure Engineering

Volumn 30, Issue 6, 2015, Pages 490-506

  Wang, Zhaodong ^a,c   Chen, Xiqun Michael ^b,d   Ouyang, Yanfeng ^a   Li, Meng ^c  

^a University of Illinois at Urbana Champaign   (United States)

^b ZHEJIANG UNIVERSITY   (China)

^c TSINGHUA UNIVERSITY   (China)

^d UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL SYSTEM SYNTHESIS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; TRAVEL TIME; VEHICLES;

CAR-FOLLOWING BEHAVIOR; INSTANTANEOUS CONTROL; MODERN COMMUNICATION TECHNOLOGIES; NONLINEAR MODEL PREDICTIVE CONTROL; OPTIMIZATION MODELING; PLATOON OF VEHICLES; PREDICTION AND CONTROL; REAL-TIME OPTIMIZATION;

LONGITUDINAL CONTROL;

CONTROL SYSTEM; INTELLIGENT TRANSPORTATION SYSTEM; NONLINEARITY; PERCEPTION; TRAFFIC CONGESTION; TRAFFIC EMISSION; TRAVEL TIME;

EID: 84929266802     PISSN: 10939687     EISSN: 14678667     Source Type: Journal    
DOI: 10.1111/mice.12130     Document Type: Article

References (63)

1. Ahn, K., Rakha, H., Trani, A. & Van Aerde, M. (2002), Estimating vehicle fuel consumption and emissions based on instantaneous speed and acceleration levels, Journal of Transportation Engineering, 128(2), 182-90.
2. Bando, M., Hasebe, K., Nakayama, A., Shibata, A. & Sugiyama, Y. (1995), Dynamical model of traffic congestion and numerical simulation, Physical Review E, 51, 1035-42.
3. Barth, M., An, F., Younglove, T., Levine, C., Scora, G., Ross, M. & Wenzel, T. (2000), Development of a Comprehensive Modal Emissions Model, National Cooperative Highway Research Program, Transportation Research Board of the National Academies.
4. Barth, M. & Boriboonsomsin, K. (2009), Energy and emissions impacts of a freeway-based dynamic eco-driving system, Transportation Research Part D: Transport and Environment, 14(6), 400-10.
5. Baskar, L. D., De Schutter, B., Hellendoorn, J. & Papp, Z. (2011), Traffic control and intelligent vehicle highway systems: a survey, IET Intelligent Transport Systems, 5(1), 38-52.
6. Boggs, P. T. & Tolle, J. W. (1995), Sequential quadratic programming, Acta Numerica, 4(1), 1-51.
7. Chandler, R. E., Herman, R. & Montroll, E. W. (1958), Traffic dynamics: studies in car following, Operations Research, 6(2), 165-84.
8. Chen, D., Laval, J., Zheng, Z. & Ahn, S. (2012), A behavioral car-following model that captures traffic oscillations, Transportation Research Part B: Methodological, 46(6), 744-61.
9. Chen, X., Li, L. & Shi, Q. (2015), Stochastic Evolutions of Dynamic Traffic Flow, Springer, Berlin Heidelberg.
10. Chen, X., Li, L. & Zhang, Y. (2010), A Markov model for headway/spacing distribution of road traffic, IEEE Transactions on Intelligent Transportation Systems, 11(4), 773-85.
11. Daganzo, C. F. (2002), A behavioral theory of multi-lane traffic flow. Part I: long homogeneous freeway sections, Transportation Research Part B: Methodological, 36(2), 131-58.
12. Darbha, S. & Rajagopal, K. (1999), Intelligent cruise control systems and traffic flow stability, Transportation Research Part C: Emerging Technologies, 7(6), 329-52.
13. De Vlieger, I., De Keukeleere, D. & Kretzschmar, J. (2000), Environmental effects of driving behaviour and congestion related to passenger cars, Atmospheric Environment, 34(27), 4649-55.
14. Gazis, D. C., Herman, R. & Rothery, R. W. (1961), Nonlinear follow-the-leader models of traffic flow, Operations Research, 9(4), 545-67.
15. Gipps, P. G. (1981), A behavioural car-following model for computer simulation, Transportation Research Part B: Methodological, 15(2), 105-11.
16. Goldberg, D. E. (1989), Genetic Algorithms in Search, Optimization, and Machine Learning, vol. 412, Addison-Wesley, Reading, MA and Menlo Park, CA.
17. Griffin, R. G. (1983), MICRO2-An Air Quality Intersection Model, FHWA Report No. FHWA-CO-RD-83-14, Colorado Department of Highways, Denver, CO.
18. Hegyi, A. (2004), Model predictive control for integrating traffic control measures. Ph.D. thesis, Delft University of Technology, the Netherlands.
19. Helbing, D. & Tilch, B. (1998), Generalized force model of traffic dynamics, Physical Review E, 58(1), 133-38.
20. Hickman, A. J. & Waterfield, V. H. (1984), A User's Guide to the Computer Programs for Predicting Air Pollution from Road Traffic, Transport and Road Research Laboratory, Crowthorne, UK.
21. Int Panis, L., Broekx, S. & Liu, R. (2006), Modelling instantaneous traffic emission and the influence of traffic speed limits, Science of the Total Environment, 371(1), 270-85.
22. Kesting, A. & Treiber, M. (2008), How reaction time, update time, and adaptation time influence the stability of traffic flow, Computer-Aided Civil and Infrastructure Engineering, 23(2), 125-37.
23. Kesting, A., Treiber, M. & Helbing, D. (2007), General lane-changing model mobil for car-following models, Transportation Research Record: Journal of the Transportation Research Board, 1999, 86-94.
24. Kesting, A., Treiber, M. & Helbing, D. (2010), Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368(1928), 4585-605.
25. Kesting, A., Treiber, M., Schönhof, M. & Helbing, D. (2008), Adaptive cruise control design for active congestion avoidance, Transportation Research Part C: Emerging Technologies, 16(6), 668-83.
26. Khaligh, A. & Li, Z. (2010), Battery, ultracapacitor, fuel cell, and hybrid energy storage systems for electric, hybrid electric, fuel cell, and plug-in hybrid electric vehicles: state of the art, IEEE Transactions on Vehicular Technology, 59(6), 2806-14.
27. Kim, T. & Zhang, H. M. (2008), A stochastic wave propagation model, Transportation Research Part B: Methodological, 42(7), 619-34.
28. Laval, J. A. & Leclercq, L. (2010), A mechanism to describe the formation and propagation of stop-and-go waves in congested freeway traffic, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368(1928), 4519-41.
29. Leclercq, L., Chiabaut, N., Laval, J. & Buisson, C. (2007), Relaxation phenomenon after lane changing: experimental validation with NGSIM data set, Transportation Research Record: Journal of the Transportation Research Board, 1999, 79-85.
30. Li, L., Chen, X. & Li, Z. (2013), Asymmetric stochastic tau theory in car-following, Transportation Research Part F: Traffic Psychology and Behaviour, 18, 21-33.
31. Li, M., Boriboonsomsin, K., Wu, G., Zhang, W.-B. & Barth, M. (2009), Traffic energy and emission reductions at signalized intersections: a study of the benefits of advanced driver information, International Journal of Intelligent Transportation Systems Research, 7(1), 49-58.
32. Li, X. & Ouyang, Y. (2011), Characterization of traffic oscillation propagation under nonlinear car-following laws, Transportation Research Part B: Methodological, 45(9), 1346-61.
33. Li, X., Peng, F. & Ouyang, Y. (2010), Measurement and estimation of traffic oscillation properties, Transportation Research Part B: Methodological, 44(1), 1-14.
34. Li, X., Wang, X. & Ouyang, Y. (2012), Prediction and field validation of traffic oscillation propagation under nonlinear car-following laws, Transportation Research Part B: Methodological, 46(3), 409-23.
35. Liu, B., Ghosal, D., Chuah, C.-N. & Zhang, H. M. (2012), Reducing greenhouse effects via fuel consumption-aware variable speed limit (FC-VSL), IEEE Transactions on Vehicular Technology, 61(1), 111-22.
36. Liu, R., Van Vliet, D. & Watling, D. (2006), Microsimulation models incorporating both demand and supply dynamics, Transportation Research Part A: Policy and Practice, 40(2), 125-50.
37. Meyer, M. D. (1999), Demand management as an element of transportation policy: using carrots and sticks to influence travel behavior, Transportation Research Part A: Policy and Practice, 33(7), 575-99.
38. National Research Council (1995), Expanding Metropolitan Highways: Implications for Air Quality and Energy Use, Transportation Research Board, Committee for Study of Impacts of Highway Capacity Improvements on Air Quality and Energy Consumption, Transportation Research Board, National Research Council, Washington DC.
39. NGSIM (2006), Next generation simulation. Available at: http://ngsim.fhwa.dot.gov/, accessed September 30, 2010.
40. Ossen, S. & Hoogendoorn, S. P. (2005), Car-following behavior analysis from microscopic trajectory data, Transportation Research Record: Journal of the Transportation Research Board, 1934(1), 13-21.
41. Ossen, S. & Hoogendoorn, S. P. (2011), Heterogeneity in car-following behavior: theory and empirics, Transportation Research Part C: Emerging Technologies, 19(2), 182-95.
42. Ossen, S., Hoogendoorn, S. P. & Gorte, B. G. (2006), Interdriver differences in car-following: a vehicle trajectory-based study, Transportation Research Record: Journal of the Transportation Research Board, 1965(1), 121-29.
43. Reno, A. T. & Bixby, R. H. (1985), Characteristics of Urban Transportation Systems, Report UMTA-MA-06-0173-85-1.
44. Rudin-Brown, C. M. & Parker, H. A. (2004), Behavioural adaptation to adaptive cruise control (ACC): implications for preventive strategies, Transportation Research Part F: Traffic Psychology and Behaviour, 7(2), 59-76.
45. Small, K. A. & Van Dender, K. (2007), Fuel efficiency and motor vehicle travel: the declining rebound effect, Energy Journal, 28(1), 25-51.
46. Sonneborn, L. & Van Vleck, F. (1964), The bang-bang principle for linear control systems, Journal of the Society for Industrial & Applied Mathematics, Series A: Control, 2(2), 151-59.
47. Sugiyama, Y., Fukui, M., Kikuchi, M., Hasebe, K., Nakayama, A., Nishinari, K., Tadaki, S.-I. & Yukawa, S. (2008), Traffic jams without bottlenecks-experimental evidence for the physical mechanism of the formation of a jam, New Journal of Physics, 10(033001), 1-7.
48. Treiber, M., Hennecke, A. & Helbing, D. (2000), Congested traffic states in empirical observations and microscopic simulations, Physical Review E, 62(2), 1805-24.
49. Treiber, M. & Kesting, A. (2013), Traffic Flow Dynamics: Data, Models and Simulation, Springer, Berlin Heidelberg.
50. US EPA (1991), MOBILE 4.1 User's Guide: Mobile Source Emission Factor Model, U.S. Environmental Protection Agency, Washington DC.
51. US EPA (2003), User's Guide to MOBILE 6.1 and MOBILE 6.2: Mobile Source Emission Factor Model, U.S. Environmental Protection Agency, Washington DC, pp. 9-22.
52. Vahidi, A. & Eskandarian, A. (2003), Research advances in intelligent collision avoidance and adaptive cruise control, IEEE Transactions on Intelligent Transportation Systems, 4(3), 143-53.
53. Vlassenroot, S., Broekx, S., Mol, J. D., Panis, L. I., Brijs, T. & Wets, G. (2007), Driving with intelligent speed adaptation: final results of the Belgian ISA-trial, Transportation Research Part A: Policy and Practice, 41(3), 267-79.
54. Wang, M., Daamen, W., Hoogendoorn, S. & van Arem, B. (2011), Estimating acceleration, fuel consumption, and emissions from macroscopic traffic flow data, Transportation Research Record: Journal of the Transportation Research Board, 2260(1), 123-32.
55. Wang, M., Daamen, W., Hoogendoorn, S. P. & van Arem, B. (2014a), Rolling horizon control framework for driver assistance systems. Part I: mathematical formulation and non-cooperative systems, Transportation Research Part C: Emerging Technologies, 40, 271-89.
56. Wang, M., Daamen, W., Hoogendoorn, S. P. & van Arem, B. (2014b), Rolling horizon control framework for driver assistance systems. Part II: cooperative sensing and cooperative control, Transportation Research Part C: Emerging Technologies, 40, 290-311.
57. Wang, M., Treiber, M., Daamen, W., Hoogendoorn, S. P. & van Arem, B. (2013), Modelling supported driving as an optimal control cycle: framework and model characteristics, Procedia - Social and Behavioral Sciences, 80, 491-511.
58. Wu, Y., Wang, R., Zhou, Y., Lin, B., Fu, L., He, K. & Hao, J. (2010), On-road vehicle emission control in Beijing: past, present, and future, Environmental Science & Technology, 45(1), 147-53.
59. Yang, Y., Yin, Y. & Lu, H. (2014), Designing emission charging schemes for transportation conformity, Journal of Advanced Transportation, 48(7), 766-81.
60. Yin, Y. & Lawphongpanich, S. (2006), Internalizing emission externality on road networks, Transportation Research Part D: Transport and Environment, 11(4), 292-301.
61. Zhang, H. M. & Kim, T. (2005), A car-following theory for multiphase vehicular traffic flow, Transportation Research Part B: Methodological, 39(5), 385-99.
62. Zhang, L., Yin, Y. & Chen, S. (2013), Robust signal timing optimization with environmental concerns, Transportation Research Part C: Emerging Technologies, 29, 55-71.
63. Zhao, X. & Gao, Z. (2005), A new car-following model: full velocity and acceleration difference model, European Physical Journal B - Condensed Matter and Complex Systems, 47(1), 145-50.