Space sharing between pedestrians and micro-mobility vehicles: A systematic review
Abstract Micro-mobility vehicles (MMVs), including a range of small-size and light-weight
vehicles such as (e-) bicycles and (e-) scooters, are becoming more popular and widely …
vehicles such as (e-) bicycles and (e-) scooters, are becoming more popular and widely …
Electric personal mobility device driver behaviors, their antecedents and consequences: a narrative review
C Laverdet, P Malola, T Meyer, P Delhomme - Journal of safety research, 2023 - Elsevier
Introduction: Electric personal mobility devices (ePMDs), as well as crashes involving
ePMDs, have been on the rise all over the world. The objectives of this study were:(a) to …
ePMDs, have been on the rise all over the world. The objectives of this study were:(a) to …
Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach
Using simulation models to conduct safety assessments can have several advantages as it
enables the evaluation of the safety of various design and traffic management options before …
enables the evaluation of the safety of various design and traffic management options before …
A modified social force model for studying nonlinear dynamics of pedestrian-e-bike mixed flow at a signalized crosswalk
L Fu, Y Zhang, H Qin, Q Shi, Q Chen, Y Chen… - Chaos, Solitons & …, 2023 - Elsevier
Mixed-traffic crosswalks with disordered e-bikes are one of the most common conflict zones
in urban traffic. The frequent interactions between pedestrians and e-bikes may result in a …
in urban traffic. The frequent interactions between pedestrians and e-bikes may result in a …
Modeling pedestrian-cyclist interactions in shared space using inverse reinforcement learning
The objective of this study is to model the microscopic behaviour of mixed traffic (cyclist-
pedestrian) interactions in non-motorized shared spaces. Video data were collected at two …
pedestrian) interactions in non-motorized shared spaces. Video data were collected at two …
Markov-game modeling of cyclist-pedestrian interactions in shared spaces: A multi-agent adversarial inverse reinforcement learning approach
Understanding and modeling road user dynamics and their microscopic interaction
behaviour at shared space facilities are curial for several applications including safety and …
behaviour at shared space facilities are curial for several applications including safety and …
Users' attitudes on electric scooter riding speed on shared footpath: A virtual reality study
Singapore enacted legislation in which off-road footpaths are shared by pedestrians and
users of active mobility devices [bicycles, and personal mobility devices such as electric …
users of active mobility devices [bicycles, and personal mobility devices such as electric …
Multiagent modeling of pedestrian-vehicle conflicts using Adversarial Inverse Reinforcement Learning
There is a need for a better understanding of the collision avoidance behavior of road users
in near misses. Recently, several models of road user behavior in near misses have been …
in near misses. Recently, several models of road user behavior in near misses have been …
A modified social force model for high-density through bicycle flow at mixed-traffic intersections
Mixed-traffic intersections with high-density bicycle traffic flow are one of the most common
bottlenecks in the urban traffic network. Due to the shared space and frequent interactions …
bottlenecks in the urban traffic network. Due to the shared space and frequent interactions …
Dynamic modeling and simulation of electric scooter interactions with a pedestrian crowd using a social force model
In recent years, micro-mobility transport vehicles have become very popular. As a result, the
challenge of developing new strategies and tools for the safety of users and pedestrians in …
challenge of developing new strategies and tools for the safety of users and pedestrians in …