• AADIL FAYAZ RATHER
• Er. Ashish Kumar
• Sandeep Singla

Traffic congestion is a serious problem which traffic engineers all over the world are trying to solve. Congestion increases the uncertainty in travel times leading to human stress and unsafe traffic situations. Better management of traffic through intelligent transportation systems (ITS) applications, especially by predicting the congestion on various roads and informing the travelers regarding the same is one possible solution. Accurate and quick prediction is one of the important factors on which the reliability of such a system depends. If one is able to predict congestion on a roadway, then the travelers can be warned of the same either pre-trip or en route so that they can take well informed travel decisions. The number of vehicles in a given stretch of a roadway is one of the most commonly used congestion indicator. Also, the travelers in general will be more interested to know what they can expect when they make the trip in future rather than the present scenario. This makes the short term prediction to future time intervals important. In this study, some of the reported techniques for density prediction under homogeneous traffic conditions are attempted under heterogeneous traffic conditions in order to determine their feasibility under the Indian traffic scenario.

Traffic,Optimization, Congestion.

"Travel Time Reduction During Congestion Under Heterogeneous Traffic Conditions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.283-292, June-2019, Available :http://www.jetir.org/papers/JETIR1906D90.pdf

"Travel Time Reduction During Congestion Under Heterogeneous Traffic Conditions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp283-292, June-2019, Available at : http://www.jetir.org/papers/JETIR1906D90.pdf