Analysis of a cooperative variable speed limit system using microscopic traffic simulation

Transportation Research Part C: Emerging Technologies

Volumn 52, Issue , 2015, Pages 173-186

  Grumert, Ellen ^a,b   Ma, Xiaoliang ^c   Tapani, Andreas ^a,b  

^a SWEDISH NATIONAL ROAD AND TRANSPORT RESEARCH INSTITUTE   (Sweden)

^b LINKÖPING UNIVERSITY   (Sweden)

^c ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Cooperative systems; Emission model; Infrastructure to vehicle communication; Intelligent transport systems; Microscopic traffic simulation; Variable speed limit

Indexed keywords

ADVANCED TRAVELER INFORMATION SYSTEMS; AUTONOMOUS VEHICLES; CONTROL SYSTEM SYNTHESIS; COOPERATIVE COMMUNICATION; EFFICIENCY; HIGHWAY TRAFFIC CONTROL; INTELLIGENT SYSTEMS; SPEED; SPEED CONTROL; VARIABLE MESSAGE SIGNS; VEHICLE TO INFRASTRUCTURE; VEHICLE TO VEHICLE COMMUNICATIONS;

CO-OPERATIVE SYSTEMS; EMISSION MODEL; INTELLIGENT TRANSPORT SYSTEMS; MICROSCOPIC TRAFFIC SIMULATION; VARIABLE SPEED LIMITS; VEHICLE COMMUNICATIONS;

STREET TRAFFIC CONTROL;

COMMUNICATION; COMPUTER SIMULATION; EFFICIENCY MEASUREMENT; INTELLIGENT TRANSPORTATION SYSTEM; NUMERICAL MODEL; PLANNING METHOD; TRAFFIC MANAGEMENT;

EID: 85027948406     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2014.11.004     Document Type: Article

References (41)

1. Abdel-Aty M., Dilmore J., Dhindsa A. Evaluation of variable speed limits for real-time freeway safety improvement. Accid. Anal. Prevent. 2006, 38(2):335-345.
2. Allaby P., Hellinga B., Bullock M. Variable speed limits: safety and operational impacts of a candidate control strategy for freeway applications. IEEE Transact. Intell. Transp. Syst. 2007, 8(4):671-680.
3. Barth, M., An, F., Younglove, T., Scora, G., Levine, C., Ross, M., Wenzel, T., 2000. Development of a Comprehensive Modal Emissions Model. Final Guide, Project 25-11. Technical Report, National Cooperative Highway Research Program, Washington D.C., U.S.
4. Boriboonsomsin K., Barth M. Impacts of freeway high-occupancy vehicle lane configuration on vehicle emissions. Transp. Res. Part D: Transp. Environ. 2008, 13(2):112-125.
5. Carlson R., Papamichail I., Papageorgiou M. Local feedback-based mainstream traffic flow control on motorways using variable speed limits. IEEE Transact. Intell. Transp. Syst. 2011, 12(4):1261-1276.
6. Chen K., Yu L. Microscopic traffic-emission simulation and case study for evaluation of traffic control strategies. J. Transp. Syst. Eng. Inf. Technol. 2007, 7(1):93-99.
7. EEA, 2013. Emep/eea Emission Inventory Guidebook 2013. Technical Report, European Environment Agency, Copenhagen, Denmark.
8. EPA, 2003. User's Guide to Mobile6.1 and Mobile6.2 Mobile Source Emission Factor Model. Technical Report, United States Environmental Protection Agency, Washington D.C., U.S.
9. EPA, 2010. Technical Guidance on the Use of Moves 2010 for Emission Inventory Preparation in State Implementation Plans and Transportation Conformity. Technical Report, EPA-420-B-10-023, United States Environmental Protection Agency, Washington D.C., U.S.
10. Gipps P. A behavioural car-following model for computer simulation. Transp. Res. Part B: Methodol. 1981, 15(2):105-111.
11. Grumert, E., Tapani, A., 2012. Impacts of a cooperative variable speed limit system. In: Procedia - Social and Behavioral Sciences 43 (8th International Conference on Traffic and Transportation Studies (ICTTS 2012)), pp. 595-606.
12. Grumert, E., Tapani, A., 2013. Microscopic traffic simulation for evaluation of a cooperative variable speed limit system. In: 1st SUMO User Conference. Berichte aus dem DLR-Institut für Verkehrssystemtechnik, pp. 147-164.
13. Grumert, E., Ma, X., Tapani, A., 2013. Effects of a cooperative variable speed limit system on traffic performance and exhaust emissions. In: TRB 92nd Annual Meeting Compendium of Papers, Washington D.C., U.S.
14. Hegyi, A., Hoogendoorn, S., Schreuder, M., Stoelhorst, H., Viti, F., 2009. Specialist: a dynamic speed limit control algorithm based on shock wave theory. In: 11th International IEEE Conference on Intelligent Transportation Systems. IEEE Operations Center, Piscataway, 2008, p. 827.
15. Hellinga B., Mandelzys M. Impact of driver compliance on the safety and operational impacts of freeway variable speed limit systems. J. Transp. Eng. 2011, 137(4):260-268.
16. Highway Agency, 2007. M25, Control Motorway, Summary Report. Technical Report, Department for Transportation, London, UK.
17. Int Panis L., Broekx S., Liu R. Modelling instantaneous traffic emission and the influence of traffic speed limits. Sci. Total Environ. 2006, 371:270-285.
18. Keller, M., Kljun, N., 2007. Artemis, Road Emission Model, User Guide. Technical Report, EU Commission.
19. Krajzewicz D. Traffic simulation with sumo - simulation of urban mobility. International Series in Operations Research & Management Science 2011, vol. 145:269-293. Springer, Ch. 8. J. Barceló (Ed.).
20. Krauß, S., 1998. Microscopic Modeling of Traffic Flow: Investigation of Collision Free Vehicle Dynamics. PhD Thesis, Hauptabteilung Mobilität und Systemtechnik des DLR Köln, Mathematisches Institut, Universität zu Köln.
21. Lee C., Hellinga B., Saccomanno F. Evaluation of variable speed limits to improve traffic safety. Transp. Res. Part C: Emerg. Technol. 2006, 14(3):213-228.
22. Lei W., Chen H., Lu L. Microscopic emission and fuel consumption modeling for light-duty vehicles using portable emission measurement system data. World Acad. Sci. Eng. Technol. 2010, 66:918-925.
23. Lima E.P., Bertoncini B.V., Gimenes M.L. Simulation of the impact on carbon monoxide concentration resulting from replacing a signalised intersection with a roundabout. Int. J. Environ. Pollution 2013, 52(3):141.
24. Lind, G., Strömgren, P., 2011. Säkerhetseffekter av trafikledning och its, litteraturinventering, v0.9. Technical Report, Movea, Stockholm, Sweden.
25. Ma X., Lei W., Andrasson I., Chen H. An evaluation of microscopic emission models for traffic pollution simulation using on-board measurement. Environ. Model. Assess. 2012, 17(4):375-387.
26. Nissan A., Koutsopoulos H. Evaluation of the impact of advisory variable speed limits on motorway capacity and level of service. Procedia - Social Behav. Sci. 2011, 16:100-109.
27. Noland R.B., Quddus M.A. Flow improvements and vehicle emissions: effects of trip generation and emission control technology. Transp. Res. Part D 2006, 11(1):1-14.
28. Papageorgiou M., Kosmatopoulos E., Papamichail I. Effects of variable speed limits on motorway traffic flow. Transp. Res. Rec. 2008, 2047:37-48.
29. Piao J., McDonald M. Safety impacts of variable speed limits - a simulation study. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. No. Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008. Transportation Research Group, School of Civil Engineering and the Environment 2008, 833-837. Southampton University.
30. Ranjitkar P., Nakatsuji T., Kawamua A. Car-following models: an experiment based on benchmarking. J. Eastern Asia Soc. Transp. Stud. 2005, 6:1582-1596.
31. Scora, G., Barth, M., 2006. Comprehensive Modal Emission Model (cmem), Version 3.01, User's Guide. Technical Report, University of California, Riverside, Center for Environmental Research and Technology.
32. Smulders S., Helleman D. Variable speed control: state-of-the-art and synthesis. 9th International Conference on Road Transport Information and Control 1998, 454:155-159. Transport Research Center.
33. Stevanovic A., Stevanovic J., Zhang K., Batterman S. Optimizing traffic control to reduce fuel consumption and vehicular emissions: integrated approach with VISSIM, CMEM, and VISGAOST. Transp. Res. Rec. 2009, (2128):105-113.
34. SUMO, 2013. Sumo homepage. Accessed 15th of October 2013. http://sourceforge.net/apps/mediawiki/sumo.
35. Torday, A., Casas, J., Aymami, J., Gerodimos, A., 2011. Evaluating the efficiency of variable speed policies using microsimulation. In: the 11th Asia-Pacific ITS Forum & Exibition, Kaohsiung, Taiwan.
36. Vallamsundar, S., Lin, J., 2011. Moves and mobile: a comparison of ghg and criteria pollutant emissions. In: TRB 90th Annual Meeting Compendium of Papers, Washington D.C., U.S.
37. van den Hoogen, E., Smulders, S., 1994. Control by variable speed signs. results of the dutch experiment. In: Seventh International Conference on Road Traffic Monitoring and Control. No. 391, Heidemij Advies, pp. 145-149.
38. van Toorenburg, J.A.C., de Kok, M.L., 1999. Automatic Incident Detection in the Motorway Control System mtm. Technical Report, Bureau Transpute, Gouda, Holland.
39. Yang H., Jin W.-L. A control theoretic formulation of green driving strategies based on inter-vehicle communications. Transp. Res. Part C: Emerg. Technol. 2014, 41(0):48-60.
40. Yelchuru, B., Adams, V., Hurley, E., Bonifera, V., 2011. Aeris: State of-the-Practice Scan of Environmental models. Technical Report, Research and Innovative Technology Administration (RITA), U.S. Department of Transportation, Washington DC, U.S.
41. Zhang K., Batterman S., Dion F. Vehicle emissions in congestion: comparison of work zone, rush hour and free-flow conditions. Atmos. Environ. 2011, 45(11):1929-1939.