Faculty Publications

Now showing 1 - 3 of 3

Reduction of Vehicular Emission at Urban Road Junctions Through Traffic Interventions
(Springer Science and Business Media Deutschland GmbH, 2023) Rahman, S.; Mohan, M.
The road transportation sector is one of the dominant sources of vehicular emission, which is causing very high levels of air pollution. Any technique to effectively control pollution is only possible by precisely estimating vehicle exhaust emissions. The objective of the research is to estimate vehicular emissions near the signalized intersection under the effect of traffic, control, vehicle, and road characteristics. This will enable to establish the link between emissions and the most likely influencing and measurable characteristics of Indian traffic conditions.Â The simulation results generated in VISSIM are imported into EnViVer to calculate the total emissions and emissions of individual vehicle classes. By simulating various combinations of vehicular, traffic, geometric, and control conditions at the intersection, the researcher will be able to arrive at the optimal combination that will result in minimal vehicular emission. The mathematical models that could be developed out of the research will be helpful to field practitioners in selecting the best strategy to tackle air pollution resulting from vehicular traffic. CO2 emission reduces significantly by 45.79% by decreasing 2W (Two-wheeler) and cars in the traffic stream by 75% and substituting these with busses. Further, a reduction of pollution levels by 91.1% occurs when all conventional cars are replaced by electric vehicles. Hence, encouraging the use of public transportation and the adoption of electric-powered vehicles could be the right step to tackle the ever-increasing pollution levels on Indian roads. Â© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Investigating bus stops' influence on saturation flow at signalized intersections in heterogeneous traffic
(Aracne Editrice, 2022) Shubhashree, K.S.; Mohan, M.
The public transportation system efficiently reduces congestion and pollution as they lessen the dependency on personalized modes. However, most bus stops are located close to the intersection, and the stopping buses often create a bottleneck. At signalized intersections, this will seriously impact the saturation flow as it hinders the efficient functioning of the traffic signal system, resulting in delays and reduction of the intersection's capacity. Hence, a profound understanding of the factors associated with bus stoppages, which influence the saturation flow, is essential in designing efficient signalized intersections. This study simulates traffic flows at signalized intersections in heterogeneous traffic in a micro-simulation software VISSIM. Results of multiple simulation run indicated that saturation flow at intersections depends on the percentage of buses in the vehicular mix, the distance of bus stop from the stop line, and percentages of right and left-turning traffic. Further, the study proposes separate saturation flow models for upstream and downstream bus stop conditions. These could be used to optimally place bus stops near the intersection such that it does not hamper the performance of the intersection while not causing any undue discomfort to the bus passengers. © 2022, Aracne Editrice. All rights reserved.
Analysis of Critical Gap and Capacity at Skewed Uncontrolled Intersections
(Institute for Transport Studies in the European Economic Integration, 2023) Arathi, A.R.; Harikrishna, M.; Mohan, M.
Critical gaps and capacity of movements at uncontrolled intersections are influenced by intersection geometry, especially in mixed traffic conditions. However, existing models to compute the capacity of uncontrolled base intersections are only suitable for intersections with 00 to 100 skew angles. This study aims to bridge the gap by evaluating the effect of skew angle on the critical gap and capacity of uncontrolled intersections. The critical gap models are developed for different vehicle types. The capacity of uncontrolled intersections is determined for different skew angles (00 to 270) using simulation and Indo-HCM models. The comparison reveals that the Indo-HCM model over-predicts the capacities. Thus, new capacity models are proposed, and it is observed that the capacity varies as a quadratic function of the skew angle, where the constant indicates base capacity. This study also provides the adjustment factors for Indo-HCM capacity models to deduce the capacity of any skew-angled intersections. © 2023 Institute for Transport Studies in the European Economic Integration. All rights reserved.

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