1- پهلوانی، پ، 1391. مسیریابی بهینه چند معیاره برای راننده در محیط شهری با استفاده از الگوریتم های ژنتیک و تهاجم گیاهان هرز تلفیق شده با فازی و شبکه عصبی مصنوعی، رساله دکتری مهندسی نقشه برداری، گرایش سیستم های اطلاعات مکانی. استاد راهنما : دلاور،م. لوکس، ک. پردیس دانشکده های فنی، دانشگاه تهران.
2- طرح مطالعات جامع حمل و نقل کشور, اسفند 1386. گزارش فاز 3، پیش بینی تقاضا، جلد پنجم، مدلسازی ترافیک, وزارت راه و ترابری.
3- نادی، س، اردیبهشت1391. مسیریابی کاربرپسند با استفاده دادههای ترافیک زمانمند،تصادفی و آنی. رساله دکتری مهندسی نقشه برداری، گرایش سیستم های اطلاعات مکانی. استاد راهنما: دلاور، م. پردیس دانشکده های فنی، دانشگاه تهران.
4- Akgungor, A. P. &Bullen, G. R., 1999. Analytical Delay Models for Signalized Intersections. Institute of Transportation Engineers. ITE , vol 69, p. 12.
5- Blackwell, H. T. &Kaufman, J. S., 2002. Response time effectiveness: Comparison of response time and survival in an urban emergency medical services system. Acad. Emeg. Med, 9.pp. 288-295.
6- Chen, Y. Z., Shen, S. f., Chen, T. &Yang, R., 2014. Path Optimization Study for Vehicles Evacuation Based on Dijkstra algorithm. Procedia Engineering, Vol 71, pp. 159-165.
7- Comolli, M. A., Finley, E., Ive, H. P. &Kingman, D., 2014. Emergency Vehicles: Improving Response Time and Efficiency. ME 302 Paper.
8- Davis, G. A. &Xiong, H., 2007. Travel Time Estimation on Arterials. Access to Destinations, p. 83.
9-Deng, Y., Chen, Y., Zhang, Y. &Mahadevan, S., 2012. Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment. Applied Soft Computing, vol 12, pp. 1231-1237.
10- Donlon, J. J. &Kenneth, D. F., 2000. Using a Geographic Information System for Qualitative Spatial Reasoning about Trafficability, Qualitative Reasoning group. Northwestern University.
11- Dreo, J., Petrowski, A., Siarry, P. &Taillard, E., 2006. Metaheuristics for Hard Optimization. NewYork: Springer.
12-Eisenberg, M. S., Bergner, L. &Hallstrom, A., 1979. Cardiac resuscitation in the community. Importance of rapid provision and implications for program planning. JAMA, p. 241.
13- Goldberg, R. &Listowsky, P., 1994. Critical factors for emergency vehicle routing Expert systems. Expert systems with applications, Vol. 7, No. 4, pp. 589-602.
14- Holland, J., 1975. Adaptation in Natural and Artificial Systems:University of Michigan Press, Ann Arbor.
15- Jones, A. J., Evans, D., Margetts, S. &Durrant, P. J., 2002. The Gamma Test. Heuristic and Optimization for Knowledge Discovery :Cardiff University.
16- Jotshi, A., Gong, Q. &Batta, R., 2006. Dispatching and Routing of Emergency Vehicles in Disaster Mitigation using Data Fusion. Air Force Office of Scientific Research (AFOSR).
17-Kemp, S. E., Wilson, I. D. &Ware, J. A., 2010. A Tutorial On the Gamma Test. I. J. of Simulation Vol 6, pp. 1-2.
18- Kho, R. J., Zulvia, F. E. &Suryadi, K., 2012. Hybrid particle swarm optimization with genetic algorithm for solving capacitated vehicle routing problem with fuzzy demand–A case study on garbage collection system. Applied Mathematics and Computation, Vol 219, pp. 2574-2588.
19-Lee, C., Huang, C., Hsiao, T. &Wu, C., 2014. Impact of Vehicular Networks on Emergency Medical Services in Urban Areas. International Journal of Environmental Research and Public Health, Vol 11, pp. 11348-11370.
20- Malczewski, J., 1999. GIS and Multicriteria Decision Analysis. NewYork: Wiley.
21- Moghaddamnia, A., 2009. Comparison of LLR, MLP, Elman, NNARX and ANFIS Models—with a case study in solar radiation estimation. Atmospheric and Solar-Terrestrial Physics,Vol 71, pp. 975-982.
22- Mortensen, A., 2009. Street and Non-Motorized Connectivity, Kirkland: Transpo Group.
23-Musolino, G., Antonio, P., Rindone, C. &Vitetta, A., 2002. Travel time forecasting and dynamic routes design for emergency vehicles., Procedia - Social and Behavioral Sciences 87, pp. 193-202.
24- Neysani Samani, N., Delavar, M. R., Chrisman, N. &Malek, M. R., 2013. Spatial Relevancy Algorithm for Context-Aware Systems (SRACS) In Urban Traffic Networks Using Dynamic Range Neighbor Query And Directed Interval Algebra. Journal of Ambient Intelligence and Smart Environments, Vol5, pp. 605-619.
25- Neysani Samani, N., Delavar, M. R. &Malek, M. R., 2006. Effective wayfinding based on LBS using landmarks in urban environment. Proc. ICA workshop on geospatial analysis and modeling, p. 12.
26- Pahlavani, P., Delavar, M. R. &Frank, A. U., 2012. Using a modified invasive weed optimization algorithm for a personalized urban multi-criteria path optimization problem. International Journal of Applied Earth Observation and Geoinformation 18, p. 313–328
27- Raubal, M. &Winter, S., 2003. Enriching Wayfinding Instructions with Local Landmarks. Geographic information science, Lecture notes in computer science, Vol 2478, pp. 243-259.
28- Sharda, R. &Vob, S., 2008. The Vehicle Routing Problem: Latest Advances and new challenges. Springer Science+Business Media,LLC.
29- Snyder, L. V. &Daskin, M. S., 2006. A random-key genetic algorithm for the generalized traveling salesman problem. European Journal of Operational Research, Vol 174, pp. 38-53.
30- Spiess, H., 1990. Conical Volume-Delay Function. Transportation Science, Vol24, pp. 153-158.
31- Steiner, R. L., 2004. Future Directions For Mutimodal Areawide Level of Service Handbook Research and Development, The Florida Department of Transportation.
32- Westphal, M., Wolfl, S., Nebel, B. &Renz, J., 2011. On Qualitative Route Descriptions: Representation and Computational Complexity, Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence.