Mobility Compass

Discover mobility and transportation research. Find experts, partners, networks.

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The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

To Graph

8.284 Topics available

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890 Locations available

479.575 PEOPLE
479.575 People People

479.575 People

Show results for 479.575 people that are selected by your search filters.

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PeopleLocationsStatistics
Ziakopoulos, ApostolosAthens
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  • 2023
Vigliani, AlessandroTurin
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Catani, JacopoRome
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Statheros, ThomasStevenage
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Utriainen, RoniTampere
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Guglieri, GiorgioTurin
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Martínez Sánchez, Joaquín
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Tobolar, Jakub
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Volodarets, M.
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Piwowar, Piotr
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Tennoy, AudOslo
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Matos, Ana Rita
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Cicevic, Svetlana
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Sommer, CarstenKassel
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Liu, Meiqi
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Pirdavani, AliHasselt
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Niklaß, Malte
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Lima, PedroBraga
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Turunen, Anu W.
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Antunes, Carlos Henggeler
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Krasnov, Oleg A.
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Lopes, Joao P.
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Turan, Osman
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Lučanin, VojkanBelgrade
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Tanaskovic, Jovan
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Walraevens, Joris

  • Google
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in Cooperation with on an Cooperation-Score of 37%

Topics

  • commodity
  • researcher
  • vehicle
  • attention
  • acceleration
  • employed
  • microsimulation
  • intersection
  • constraint
  • bottleneck
  • flexibility
  • urban road
  • time interval
  • VISSIM
  • deceleration
  • waiting time
  • traffic control
  • connected vehicle
  • communication traffic
  • data
  • computer science
  • queuing
  • control device
  • estimate
  • structural engineering
  • indicating instrument
  • automotive engineering
  • control system
  • real time information
  • signalisation
  • impurity
  • vehicle mix
  • layout
  • customer
  • road
  • highway traffic
  • variable
  • production
  • employee
  • communication system
  • airport
  • security
  • engineering
  • motivation
  • theory
  • automobile
  • Statistic
  • filter
  • T intersection
  • show 19 more
  • show less

Publications

  • 2023Expected Waiting Times at an Intersection with a Green Extension Strategy for Freight Vehicles: An Analytical Analysiscitations
  • 2022The contribution of connected vehicles to network traffic control: A hierarchical approach3citations
  • 2022The contribution of connected vehicles to network traffic control : a hierarchical approach3citations
  • 2016Discrete-time queues with variable service capacity: a basic model and its analysis10citations
  • 2014A continuous-time queueing model with class clustering and global FCFS service discipline10citations
  • 2011Road splits: smooth or rough passage?citations

Places of action

Chart of shared publication
Malderen, Joris Van
1 / 1 shared
Wittevrongel, Sabine
4 / 4 shared
Sasaninejad, Sara
3 / 3 shared
Moradi, Hossein
2 / 2 shared
Bruneel, Herwig
3 / 6 shared
Claeys, Dieter
2 / 3 shared
Mélange, Willem
2 / 3 shared
Steyaert, Bart
1 / 1 shared
Chart of publication period
2023
2022
2016
2014
2011

Co-Authors (by relevance)

  • Malderen, Joris Van
  • Wittevrongel, Sabine
  • Sasaninejad, Sara
  • Moradi, Hossein
  • Bruneel, Herwig
  • Claeys, Dieter
  • Mélange, Willem
  • Steyaert, Bart

conferencepaper

Road splits: smooth or rough passage?

  • Walraevens, Joris
  • Mélange, Willem
  • Bruneel, Herwig
Abstract

No one likes to wait in line. Even worse is having to wait in a line that has nothing to do with your own interests. Take for instance a road split, for example a T junction. Cars on that T junction heading straight ahead may be hindered or even blocked by cars wanting to turn left, even when the road ahead is free. This is simply because they have to wait in line in a rst-come-rst-served (FCFS) manner on the road leading to the T junction. Or vice versa, cars wanting to turn left can get stuck in a trac jam of cars that have to go straight ahead. In both cases, cars have to wait in a trac jam that has nothing to do with their own destination. Our goal is to model this phenomenon and to estimate its (negative) impact. The model representing this phenomenon is a two-class queueing system with two dedicated servers and one innite queue. The system uses a %5Cglobal FCFS" service discipline, i.e. all arriving customers are accommodated in one single FCFS queue, regardless of their types. We solve this queueing system using techniques used in queueing theory. In the future, we intend to be able to give advise about the optimal length of the filter lane, i.e. a lane reserved for those making a specific turn at the next junction.

Topics
  • customer
  • queuing
  • theory
  • automobile
  • estimate
  • Statistic
  • filter
  • T intersection

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