Urban Corridor Management Strategy Based on Intelligent Transportation System
Intelligent Transportation System (ITS) is the application of technology for developing a user–friendly transportation system for urban areas in developing countries. The goal of urban corridor management using ITS in road transport is to achieve improvements in mobility, safety, and the productivity of the transportation system within the available facilities through the integrated application of advanced monitoring, communications, computer, display, and control process technologies, both in the vehicle and on the road. This paper attempts to present the past studies regarding several ITS available that have been successfully deployed in urban corridors of India and abroad, and to know about the current scenario and the methodology considered for planning, design, and operation of Traffic Management Systems. This paper also presents the endeavor that was made to interpret and figure out the performance of the 27.4 Km long study corridor having eight intersections and four flyovers. The corridor consisting of 6 lanes as well as 8 lanes divided road network. Two categories of data were collected on February 2016 such as traffic data (traffic volume, spot speed, delay) and road characteristics data (no. of lanes, lane width, bus stops, mid-block sections, intersections, flyovers). The instruments used for collecting the data were video camera, radar gun, mobile GPS and stopwatch. From analysis, the performance interpretations incorporated were identification of peak hours and off peak hours, congestion and level of service (LOS) at mid blocks, delay followed by the plotting speed contours and recommending urban corridor management strategies. From the analysis, it is found that ITS based urban corridor management strategies will be useful to reduce congestion, fuel consumption and pollution so as to provide comfort and efficiency to the users. The paper presented urban corridor management strategies based on sensors incorporated in both vehicles and on the roads.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1124963Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1123
 Anitha, S.S.S.D., Nithyaa, R., and Arulraj, P. (2013), “Minimizing the Traffic Congestion using GIS”, International Journal of Research in Engineering & Advanced Technology (IJREAT), Vol. 1, Issue 1, pp. 232–279.
 Chalumuri R. S. and Yasuo A. (2014), “Modelling Travel Time Distribution under Various Uncertainties on Hanshin Expressway of Japan”, European Transport Research Review, 6(1), DOI 10.1007/s12544-013-0111-3, pp. 85- 92.
 Chen, S., Ray, C., Tan, J. and Claramunt, C. (2006), “Integrated Transportation GIS for the City of Guangzhou, China", Proceedings of 6th International Conference on ITS Telecommunications, Chengdu, DOI: 10.1109/ITST.2006.288698, pp. 894- 897.
 Chheda, G., Gajra, N., Chhaya, M., Deshpande, J., and Gharge, S. (2012),” Real Time Bus Monitoring and Passenger Information System”, International Journal of Soft Computing and Engineering (IJSCE), Vol. 1, Issue-6, pp. 34- 38.
 Duan Z., Liu L. and Sun W. (2009), “Traffic Congestion Analysis of Shanghai Road Network Based On Floating Car Data”, 2nd International Conference on Transportation Engineering Proceedings, DOI: 10.1061/41039 (345) 450, pp. 2731- 2736.
 Godavarthi G. R., Chalumuri R. and Velmurugun S. (2014), “Measuring the Performance of Bus Rapid-Transit Corridors Based on Volume by Capacity Ratio”, Journal of Transportation Engineering, Volume 140, Issue 10. 1061/(ASCE)TE.1943-5436.0000698, 04014049.
 Hounsell, N. B., Shrestha, B.P., and Wong, A. (2012), “Data Management and Applications in a World-Leading Bus Fleet” Transportation Research Part C: Emerging Technologies, Vol. 22, pp. 76- 87.
 Huang, B., Cheu, R. L., and Liew, Y. S. (2004), “GIS and Genetic Algorithms for HAZMAT Route Planning with Security Considerations” International Journal of Geographical Information Science, Vol. 18, Issue 8, pp. 769-787.
 Jain G. V., Jain S.S. and Parida M. (2014), “Web-based Passenger Information System for Ahmadabad City”, International Journal of Remote Sensing and GIS, Vol. 3, Issue 2, pp. 18- 29.
 Kalaga, K. R., and Rao, A. M. (2009), “Application of GPS for Traffic Studies”, Journal of Urban Transport, Vol. 8 Issue 1, pp. 44- 55.
 Katiyar, V., Kumar, P., and Chand, N. (2011), “An Intelligent Transportation Systems Architecture Using Wireless Sensor Networks”, International Journal of Computer Applications, Vol. 14, Issue 2, pp. 22- 26.
 Knaian, A. N. (2000), “A Wireless Sensor Network for Smart Roadbeds and Intelligent Transportation Systems”, (Ph.D. Thesis) Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States.
 Lam, W. H. K., and Tam, M. L. (2008), "Evaluation of Real-time Data Collection Technologies for Journey Time Estimation." Proceedings of the Sixth International Conference of Traffic and Transportation Studies Congress (ICTTS), Nanning, China, American Society of Civil Engineers, pp. 54- 65.
 Mouskos, K.C., and Greenfeld, J. (1999), “A GIS Based Multimodal Advanced Traveler Information System (MATIS)”, Computer Aided Civil and Infrastructure Engineering, Vol. 14, Issue 4, pp. 267–279.
 Narayanan, R., And Prakash, C. S. (2003), “Advanced Traveler Information System (ATIS) Using GIS- A Case Study of Chennai City”, Map Asia 2003, Kuala Lampur, Malaysia, Oct. 13-14, Available Online: http://www.gisdevelopment.net/application/miscellaneous/ma03131abs.htm (Accessed On: October 19, 2015).
 Peng, Z. R., and Huang, R. (2000), “Design and Development of Interactive Trip Planning for Web- Based Transit Information Systems”, Transportation Research Part C: Emerging Technologies, Vol. 8, Issues 1- 6, pp. 409- 425.
 Rajendra, K., et al. (1998), "Development of a Regional Traveler Information System in South-East Michigan." In proceedings of the ITS America annual meeting, Detroit, Michigan, May, 1998.
 Reddy, D. (2002), “Development of Intelligent Transport System in GIS Environment”, (M. Tech Dissertation), Indian Institute of Technology Roorkee.
 Sawant, H., Tan, J. D., and Yang, Q. (2004), “A Sensor Networked Approach for Intelligent Transportation Systems”, Proceedings of IEEE International Conference on Intelligent Robots and Systems, Sendai, Japan, Vol. 2, pp. 1796-1801.
 Singh, V. (2007), “Methodology for Advanced Traveler Information System for Developing Countries”, (Ph.D. Thesis), Indian Institute of Technology, Roorkee.
 Warriach, E. U., and Claudel, C. (2013), “A Machine Learning Approach for Vehicle Classification Using Passive Infrared and Ultrasonic Sensors.”, Proceedings of 12th International ACM Conference on Information Processing in Sensor Networks (IPSN). Philadelphia, pp. 333-334.