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Automated driving is getting a step closer to reality. However, systematic methods for analyzing the safety benefits of deploying automated vehicles on roads are lacking. In this paper, we provide an outline of a methodology that may be adopted to assess the safety benefits of automatic vehicle following in an emergency braking scenario. Automated vehicles travel in a single straight lane and the...
Macroscopic traffic flow models are suited for large scale, network wide applications where the macro-characteristics of the flow are of prime interest. A clear understanding of the existing macro-level traffic flow models will help in modelling of varying traffic scenarios more accurately. Existing state-of-the-art reports on traffic flow models have not considered macro-level models exclusively...
This paper provides an extensive review of the literature on spatial transferability of travel forecasting models. From the review, a synthesis is prepared on: (1) the theoretical and practical considerations related to model transferability, (2) the approaches and metrics used to assess model transferability, (3) the methods used to transfer models, and (4) the empirical evidence on model transferability...
This study investigates some of the key determinants of vehicle ownership (number of two-wheelers and cars) and the trip frequency at the household level using data from Chennai city, India. Potential endogeneity between the number of vehicles present in a household and trip frequency is tested systematically. Vehicle ownership is represented in two ways: (1) The total number of vehicles in a household...
Expressways in India are vastly different from other roads of the country based on roadway and traffic conditions and additionally, there is no perfect strict lane discipline. Nevertheless, there is not much research literature available specific to these categories of roads in India. The knowledge of roadway capacity is an important basic input required for planning, design, analysis and operation...
This research mathematically investigates revenue neutral tradable credit schemes that can redistribute the link flow patterns to obtain least emissions for the network. The trade-off between travel time and emissions is accommodated through Pareto optimal solutions from a bi-objective problem. Further, tradable credit schemes with minimum transaction are also proposed. Numerical examples show how...
This paper proposes a system for on-board monitoring the loss of attention of an automotive driver, based on PERcentage of eye CLOSure (PERCLOS). This system has been developed considering the practical on-board constraints such as illumination variation, poor illumination conditions, free movement of driver’s face, limitations in algorithms etc. A novel framework for PERCLOS computation is reported...
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