Designing next generation multimodal traveler information systems to support sustainability-oriented decisions

A Kramers - Environmental Modelling & Software, 2014 - Elsevier
This article explores functionality that could be included in the next generation multimodal
travel information system to support sustainability-oriented decisions. It identifies situations …

Towards decolonial human subjects in research on transport

T Schwanen - Journal of transport geography, 2020 - Elsevier
This article analyses how human subjects are imagined and conceived in research on
transport in the analytical and quantitative traditions in geography and beyond, and outlines …

Vemo: Enabling transparent vehicular mobility modeling at individual levels with full penetration

Y Yang, X Xie, Z Fang, F Zhang, Y Wang… - The 25th Annual …, 2019 - dl.acm.org
Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …

The optimal path finding algorithm based on reinforcement learning

G Khekare, P Verma, U Dhanre, S Raut… - International Journal of …, 2020 - igi-global.com
Urbanization has been extensively increased in the last decade. In proportion, the number of
vehicles throughout the world is increasing broadly. The detailed survey of available optimal …

Generating emissions information for route selection: Experimental monitoring and routes characterization

J Bandeira, TG Almeida, AJ Khattak… - Journal of Intelligent …, 2013 - Taylor & Francis
Infrastructure and traffic management technologies can have substantial impact on fuel use
and emissions. This article explores a way to generate information about emissions and …

[HTML][HTML] Quantifying travellers' evaluation of waiting time uncertainty in public transport networks

S Shelat, O Cats, JWC van Lint - Travel Behaviour and Society, 2021 - Elsevier
Although waiting times are inherently uncertain in public transport networks, previous
research has primarily studied route choice behaviour under risk. Since understanding such …

Information impacts on route choice and learning behavior in a congested network: experimental approach

X Lu, S Gao, E Ben-Elia - Transportation Research Record, 2011 - journals.sagepub.com
Every traveler makes route choices in an uncertain environment that includes random
disruptions to the traffic system such as incidents, bad weather, and random behavior of …

[HTML][HTML] Exploring the role of spatial cognition in predicting urban traffic flow through agent-based modelling

E Manley, T Cheng - Transportation Research Part A: Policy and Practice, 2018 - Elsevier
Urban systems are highly complex and non-linear in nature, defined by the behaviours and
interactions of many individuals. Building on a wealth of new data and advanced simulation …

Solutions to the routing problem: towards trustworthy autonomous vehicles

LZ Varga - Artificial Intelligence Review, 2022 - Springer
The general expectation is that the traffic in the cities will be almost optimal when the
collective behaviour of autonomous vehicles will determine the traffic. Each member of the …

Reinforcement learning of route choice considering traveler's preference

X Long, J Mao, Z Qiao, P Li, W He - Transportation Letters, 2023 - Taylor & Francis
Travelers always perform some preference during the decision-making process. The
preference will affect the decision results and can be improved by continuously learning. In …