This paper introduces OMOD (OpenStreetMap Mobility Demand Generator), a new open-
source activity-based mobility demand generation tool. OMOD uses a data-driven approach …

This paper presents a step-by-step guide to generating and simulating a traffic scenario
using the open-source simulation tool SUMO. It introduces the common pipeline used to …

Road traffic is the primary source of environmental noise pollution in cities. This problem is
also spreading due to inadequate urban expansion planning. Hence, integrating road traffic …

This paper introduces a new open traffic scenario—ToST (Tokyo SUMO traffic) scenario—
designed for the SUMO traffic simulator and specifically targeting Tokyo urban areas. The …

In order to transform cities into more liveable, safe, and sustainable places, we must shift our
mobility paradigms. As one auspicious concept amongst novel intelligent transportation …

Multi-modal journey planning for large numbers of simultaneous travellers is a challenging
problem, particularly in the presence of limited transportation capacity. Fundamental trade …

Les systèmes de transports ont un impact incontestable sur notre environnement. Même s'
ils sont indispensables, ils consomment énormément de ressources et émettent une grande …

Electrifying the ride-hailing services has the potential to significantly reduce greenhouse gas
emissions in the shared mobility sector. However, these emission reduction benefits depend …

The escalation of traffic volume in urban areas poses multifaceted challenges including
increased accident risks, congestion, and prolonged travel times. Traditional approaches of …

The SUMO traffic simulator is a mainstream tool that allows to model and analyse traffic and
mobility scenarios. Fully realistic scenarios can be appealing for many use cases, but they …