Receptiveness angle: A new surrogate safety measure for monitoring traffic safety

This paper presents a framework for monitoring highway traffic-stream measures using quality trajectory data of mixed (heterogeneous) traffic. The framework includes a new measure that reflects the attentiveness of the follower driver, called receptiveness angle, in the vehicle-following process. This measure is integrated with the traditional...

Proposed Empirical Approach to Measuring Traffic String Stability

This study originated with the intent of qualifying traffic string stability from empirical observations. A new responsiveness angle measure was developed to assess driver instincts under vehicle-following conditions. In this measure, the degree of the follower vehicle's attention towards its leader vehicle's actions is quantified. In...

Reliability of Intergreen Interval Based on Combined Dilemma and Option Zones

Currently, the dilemma and option zones’ failures are independently used to analyze the intergreen interval at signalized intersections. Therefore, the present research work is initiated to integrate these failures. First, the dilemma and option zones are modelled using the first-order second-moment method. Then, game theory is used to model the...

Investigating traffic safety reckoning hyperbolic driving following behavior using trajectory data

Using vehicle trajectory datasets developed over a study section for three traffic flow levels, a rectangular hyperbolic relation between time-to-collision and relative speeds in vehicle-following behavior were observed. A new methodology for estimating the probable rear-end collisions in the given traffic stream is developed based on this...

Experimental Design for Measuring Operational Performance of Truck Parking Terminal Using Simulation Technique

The paper presents the performance analysis of a well-designed truck parking terminal, which is planned for regulating truck traffic over a commercial port. The designed truck parking terminal is modeled using microscopic traffic simulation, which is validated based on the movement of vehicles to the parking bays. After validation, various...

Investigating Performance of a Novel Safety Measure for Assessing Potential Rear-End Collisions: An Insight Representing a Scenario in Developing Nation

Road safety is one of the major concerns in the ever-growing traffic network. In addressing this, surrogate safety measures play a critical role in identifying collision instincts. Besides the added advantage of quantifying collision instincts in advance, surrogate safety measures have their limitations. For example, in some instances, those...

Data-Driven Approach for Modeling the Nonlane-Based Mixed Traffic Conditions

The diverse nature of vehicle categories and the resultant lane discipline in mixed (heterogeneous) traffic cause complex spatial interactions. As a result, the driving behavior process in mixed traffic conditions is meaningfully different, where both longitudinal and lateral movements of the vehicles continuously occur. Under prevailing...

Developing Extended Trajectory Database for Heterogeneous Traffic like NGSIM Database

The present work introduced a framework of developing comprehensive extended vehicular trajectory data under heterogeneous non-lane-based traffic conditions like the NGSIM datasets in the United States. Due to the absence of automation and instrumentation, and even the lack of sensor deployment on roads in developing economies like India, it...

Empirical Approach for Identifying Potential Rear-End Collisions Using Trajectory Data

This paper proposes a novel approach for examining rear-end collisions between successive vehicles in a traffic stream. In this approach, a new safety measure of the follower driver's attentiveness is proposed, referred to herein as instantaneous heeding time (IHT), reflecting the subject follower's heeding nature concerning its leader. A safety...

Modeling vehicle collision instincts over road midblock using deep learning

The present research aims to understand the safety over the midblock road sections and proposes a safety framework using the conventional Time to Collision (TTC) measure. In the present work, the safety framework underlines a supporting structure connecting the actions of the surrounding vehicles and assesses the collisions changes for a given...

Customizing the Following Behavior Models to Mimic the Weak lane based Mixed Traffic Conditions

This study aims to model traffic flow under weak lane based heterogonous (mixed) traffic conditions. Unlike homogeneous traffic, when a follower (subject) vehicle in mixed traffic moves closer to its leader vehicle, it tends to adjust its longitudinal movement or change its lane and acts discretely. Due to this phenomenon, traffic flow modeling...