Intersection Optimization Analysis: Cambie & W. Broadway, Vancouver

Authors

  • Michelle Leung
  • Sam Maggs
  • Svyatoslav Glazyrin

Abstract

The cross streets of W. Broadway and Cambie is one of the busiest intersections in the Vancouver Metropolitan area. Introducing a new traffic pattern, such as a diagonal crossing (“scramble crossing”), to improve pedestrian crossing efficiency can be “risky” considering the high traffic volume that the traffic corridor supports. The benefits from introducing a scramble crossing include the obvious shorter distance travelled by pedestrians when wanting to reach an opposite diagonal corner, and, given the right type of scramble crossing, a reduction of vehicle delays that are produced by walking pedestrians. Based on research and review of previous studies and methods, we constructed a mixed integer programming model to establish if the introduction of a scramble crossing at the chosen intersection would improve efficiency. Applying our model to the intersection of study generated positive results, allowing us to recommend that a scramble intersection be introduced based on our data.

References

Borgers, A., Timmermans, H. (1986). City center entry points, store location paterns and pedestrian rout choice behavior: a microlevel simulation model. Socio-Economic Plannig Sciences, 20, 25-31.

Bissessar, R., & Tonder, C. (2008). Pedestrian scramble crossing - A tale of two cities. City of Toronto. Retrieved from website: http://www.toronto.ca/transportation/walking/pdf/pedestrian_scramble_crossings.pdf

City of Vancouver, Engineering Services (2010, May 11). Traffic Management. Retrieved from website: http://vancouver.ca/engsvcs/transport/traffic/

City of Vancouver (2011, Aug 8). VanMap: Public edition. [Interactive Media]. Retrieved from website: http://vanmapp.vancouver.ca/pubvanmap_net/default.aspx

Gipps, P.G., Marksjo, B.(1985). A micro-simulation model for pedestrian flows. Mathematics and Computers in Simulation, 27(2), 95-105.

Kitazawa, K., Batty, M. (2004). Pedestrian behaviour modelling: an application to retail movements using a genetic algorithm. 7th International Conference on Design and Decision Support Systems in Architecture and Urban Planning. Retrieved from website: http://www.ddss.nl/

Koonce, P. (2008). Traffic Signal Timing Manual. Retrieved from website: http://www.signaltiming.com/The%20Signal%20Timing%20Manual_040108.pdf

Loxam, E. (2011, Dec 16). Vancouver considers scramble intersection. News1130. Retrieved from website: http://www.news1130.com

Mitchell, D.H., MacGregor Smithm J. (2001). Topological network design of pedesttrian networks. Transportation Research Part B, 35, 107-135.

Papadimitriou, E., Yannis, G., & Golias, J. (2009). A critical assessment of pedestrian behaviour models. Transportation Research Part F Traffic Psychology and Behaviour. Retrieved from website: http://linkinghub.elsevier.com/retrieve/pii/S1369847808001046

Schneider, R. (2011). Comparison of turning movement count data collection methods for a signaled optimization study. Retrieved from website: http://www.miovision.com/wp-content/uploads/URS_Whitepaper_May2011.pdf

Richard, M. (2008, Nov 11). Diagonal crosswalks in L.A. to make city more pedestrian-friendly [Photograph]. Retrieved from website: http://www.treehugger.com/cars/diagonal-crosswalks-in-la-to-make-city-more-pedestrian-friendly.html

Richard, M. (2011). Study on Pedestrian Signal Cycle Optimization. International Conference on Intelligent Computation Technology and Automation (ICICTA), 2011, pp. 515 - 519. doi: 10.1109/ICICTA.2011.142

Yang, Z. (2010). Signal timing optimization based on minimizing vehicle and pedestrian delay by genetic algorithm. (Master's thesis). Retrieved from website: http://www.ideals.illinois.edu

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Published

2017-02-22

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Articles