Management of intersections with multi-modal high-resolution data

Transportation Research Part C: Emerging Technologies

Volumn 68, Issue , 2016, Pages 101-112

  Muralidharan, Ajith ^a   Coogan, Samuel ^a   Flores, Christopher ^a   Varaiya, Pravin ^a  

^a Sensys Networks Inc   (United States)

Author keywords

Arterial data; High resolution data; Intersection safety; Pedestrian occupancy; Red light violations; Timing plans

Indexed keywords

TRAFFIC SIGNALS; VEHICLE TO INFRASTRUCTURE; VEHICLES;

ARTERIAL DATA; HIGH RESOLUTION DATA; INTERSECTION SAFETY; PEDESTRIAN OCCUPANCY; RED-LIGHT VIOLATIONS; TIMING PLANS;

PEDESTRIAN SAFETY;

IMAGE RESOLUTION; REAL TIME; TRAFFIC MANAGEMENT; TRANSPORTATION INFRASTRUCTURE; TRANSPORTATION POLICY; TRANSPORTATION SAFETY; VIDEOGRAPHY;

EID: 84962712273     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2016.02.017     Document Type: Article

References (17)

1. Aboudolas K., Papageorgiou M., Kosmatopoulos E. Store-and-forward based methods for the signal control problem in large-scale congested urban road networks. Transp. Res. Part C 2009, 17:163-174.
2. Bullock D.M., Day C.M., Haseman R., Brennan T.M., Wasson J.S., Sturdevant J.R. Evaluation of arterial signal coordination: methodologies for visualizing high-resolution event data and measuring travel time. Transp. Res. Rec. 2008, 2192:37-49.
3. Coogan, S., 2015. History's principal components repeat themselves: using data for traffic predictive control. In: Presented at IPAM Workshop on Traffic Control, UCLA, October 27, 2015.
4. Coogan, S., Gomes, G., Kim, E.S., Arcak, M., Varaiya, P., 2015. Offset optimization for a network of signalized intersections via semidefinite relaxation. In: IEEE 54th Conference on Decision and Control (CDC), pp. 2187-2192.
5. Day, C.M., Bullock, D.M., Li, H., Remias, S.M., Hainen, A.M., Stevens, A.L., Sturdevant, J.R., Brennan, T.M., 2014. Performance Measures for Traffic Signal Systems: A Outcome-Oriented Approach. Technical Report. Purdue University, Lafayette, IN. doi:10.5703/1288284315333.
6. Dowling, R., Ashiabor, S., 2012. Traffic Signal Analysis with Varying Demands and Capacities. Draft Final Report Technical Report NCHRP 03-97. Transportation Research Board.
7. ITS International. Benefits of Florida's Traffic Signal Retiming, 1/4/2013.
8. Lee, S., Wong, S.C., Varaiya, P., 2015. Stage-based max pressure adaptive traffic control policy at isolated signalized junctions. In: 94th Annual Meeting of the Transportation Research Board, Washington, D.C., USA.
9. Muralidharan, A., Flores, C., Varaiya, P., 2014. Pedestrian detection and real-time performance measures at intersections. In: 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., USA.
10. National Traffic Operations Coalition, 2007. National Traffic Report Card, 2007. (accessed 14.08.08). http://www.ite.org/REPORTCARD/.
11. National Traffic Operations Coalition, 2012. National Traffic Report Card, 2012. http://www.ite.org/reportcard/.
12. New York DOT, 2010. The New York City Pedestrian Safety Study & Action Plan. http://www.nyc.gov/html/dot/html/about/pedsafetyreport.shtml.
13. NHTSA, 2010. Crash Factors in Intersection-related Crashes: An On-scene Perspective. Technical Report DOT HS 811 366. National Highway Traffic Safety Administration.
14. Pierce G., Shoup D. SFpark: pricing parking by demand. Access Mag. 2013, (Fall):43.
15. Sunkari S. The benefits of retiming traffic signals. ITE J. 2004, 26-29.
16. Varaiya P. Max pressure control of a network of signalized intersections. Transp. Res. Part C 2013, 36:177-195.
17. Zhang Y., Fu C., Hu L. Yellow light dilemma zone researches: a review. J. Traffic Transp. Eng. (English Edition) 2014, 1(5):338-352.