Searched for: subject%3A%22Trajectory%255C%2Bdata%22
(1 - 13 of 13)
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Chen, Kequan (author), Knoop, V.L. (author), Liu, Pan (author), Li, Zhibin (author), Wang, Yuxuan (author)
The pre-insertion process called anticipation is an essential component of a lane-changing manoeuvre. There is little empirical research regarding the impact of anticipation. Thus, this paper aims to explore the behaviour of the new follower (NF) in the target lane when it encounters anticipation by using new trajectory datasets. The changing...
journal article 2023
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Liu, Zhengke (author), Ma, Xiaolei (author), Liu, Xiaohan (author), Correia, Gonçalo (author), Shi, Ruifeng (author), Shang, Wenlong (author)
Optimizing battery swapping station (BSS) configuration is essential to enhance BSS’s energy savings and economic feasibility, thereby facilitating energy refueling efficiency of electric taxis (ETs). This study proposes a novel modular battery swapping mode (BSM) that allows ET drivers to choose the number of battery blocks to rent according...
journal article 2023
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Chen, Kequan (author), Knoop, V.L. (author), Liu, Pan (author), Li, Zhibin (author), Wang, Yuxuan (author)
Lane-changing (LC) in congested traffic has been identified as a trigger for the sudden deceleration behavior of the new follower in the target lane, leading to severe traffic disturbances. Thus, investigating the response of the new follower to an LC maneuver is an important research topic in the literature. To date, numerous efforts have...
journal article 2023
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Raju, Narayana (author), Arkatkar, Shriniwas S. (author), Easa, Said (author), Joshi, Gaurang (author)
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...
journal article 2022
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Raju, Narayana (author), Patil, Shubham (author), Arkatkar, Shriniwas S. (author), Easa, Said (author)
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...
journal article 2022
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Sharma, Salil (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)
This paper studies and compares the gap selection process of multiple vehicle classes (passenger cars, delivery vans, and trucks) within their discretionary lane changing activities. Given a trajectory or a sequence of gap selection decisions, we aim to predict whether a vehicle will change or keep a lane. For this purpose, we use a large...
journal article 2022
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Raju, Narayana (author), Arkatkar, Shriniwas (author), Easa, Said (author), joshi, gaurang (author)
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...
journal article 2021
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Raju, Narayana (author), Arkatkar, Shriniwas (author), Easa, Said (author), Joshi, Gaurang (author)
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...
journal article 2021
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Patil, Shubham (author), Raju, Narayana (author), Arkatkar, Shriniwas (author), Easa, Said (author)
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...
journal article 2021
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Ji, Yanjie (author), Ma, Xinwei (author), He, Mingjia (author), Jin, Yuchuan (author), Yuan, Y. (author)
Bike-sharing systems have rapidly expanded around the world. Previous studies found that docked and dockless bike-sharing systems are different in terms of user demand and travel characteristics. However, their usage regularity and its determinants have not been fully understood. This research aims to fill this gap by exploring smart card...
journal article 2020
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Farah, H. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
On interchanges there are higher probabilities of risky situations compared to uninterrupted motorway sections due to increased speed variability and higher frequency of lane-changes. In this study, we focus on understanding and modelling drivers’ longitudinal speed behavior when negotiating horizontal ramp curves in interchanges in the...
journal article 2019
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Porter, Emily (author), Hamdar, Samer H. (author), Daamen, W. (author)
This paper presents an integrated modelling framework to capture pedestrian walking behaviour in congested and uncongested conditions. The framework is built using a combination of concepts from the Social Force model (basic one-to-one interaction), behavioural heuristics (physiological and cognitive constraints), and materials science (multi...
journal article 2017
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Duives, D.C. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
One of the fundamental properties of pedestrian simulation models is their capability to predict the future movement dynamics of pedestrians depending on the current state of the pedestrian traffic flow, more specically the walking behaviour of neighbouring pedestrians. This paper investigates the influence of the interaction characteristics on...
conference paper 2016
Searched for: subject%3A%22Trajectory%255C%2Bdata%22
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