scholarly journals Perception of overlap in multi-modal urban transit route choice

2021 ◽  
pp. 1-23
Author(s):  
Malvika Dixit ◽  
Oded Cats ◽  
Ties Brands ◽  
Niels van Oort ◽  
Serge Hoogendoorn
Keyword(s):  
Route Choice ◽  
Urban Transit ◽  
Transit Route

Modelling Urban Public Transit Users' Route Choice Behaviour

2011 ◽  
pp. 134-146
Author(s):  
Yulin Lee ◽  
Jonathan Bunker ◽  
Luis Ferreira
Keyword(s):  
Public Transport ◽  
Public Transit ◽  
Route Choice ◽  
User Equilibrium ◽  
Urban Transport ◽  
Transit Assignment ◽  
The Road ◽  
Transit Route ◽  
The 1960S ◽  
Assignment Models

Public transport is one of the key promoters of sustainable urban transport. To encourage and increase public transport patronage it is important to investigate the route choice behaviours of urban public transit users. This chapter reviews the main developments of modelling urban public transit users’ route choice behaviours in a historical perspective, from the 1960s to the present time. The approaches reviewed for this study include the early heuristic studies on finding the least-cost transit route and all-or-nothing transit assignment, the bus common lines problem, the disaggregate discrete choice models, the deterministic and stochastic user equilibrium transit assignment models, and the recent dynamic transit assignment models. This chapter also provides an outlook for the future directions of modelling transit users’ route choice behaviours. Through the comparison with the development of models for motorists’ route choice and traffic assignment problems, this chapter advocates that transit route choice research should draw inspiration from the research outcomes from the road area, and that the modelling practice of transit users’ route choice should further explore the behavioural complexities.

Calibration of a transit route choice model using revealed population data of smartcard in a multimodal transit network

2019 ◽  
Vol 47 (5) ◽  
pp. 2179-2202 ◽  
Author(s):  
Ikki Kim ◽  
Hyoung-Chul Kim ◽  
Dong-Jeong Seo ◽  
Jung In Kim
Keyword(s):  
Choice Model ◽  
Route Choice ◽  
Population Data ◽  
Transit Network ◽  
Transit Route

scholarly journals Solving urban transit route design problem using selection hyper-heuristics

2019 ◽  
Vol 274 (2) ◽  
pp. 545-559 ◽  
Author(s):  
Leena Ahmed ◽  
Christine Mumford ◽  
Ahmed Kheiri
Keyword(s):  
Design Problem ◽  
Urban Transit ◽  
Route Design ◽  
Transit Route

A GENETIC ALGORITHM FOR URBAN TRANSIT ROUTING PROBLEM

2012 ◽  
Vol 09 ◽  
pp. 411-421 ◽  
Author(s):  
JOANNE SUK CHUN CHEW ◽  
LAI SOON LEE
Keyword(s):  
Genetic Algorithm ◽  
Optimization Technique ◽  
Urban Transit ◽  
Routing Problem ◽  
Evolutionary Optimization Technique ◽  
Route Network ◽  
Constrained Problem ◽  
Transit Route ◽  
Better Than

The Urban Transit Routing Problem (UTRP) involves solving a set of transit route networks, which proved to be a highly complex multi-constrained problem. In this study, a bus route network to find an efficient network to meet customer demands given information on link travel times is considered. An evolutionary optimization technique, called Genetic Algorithm is proposed to solve the UTRP. The main objective is to minimize the passenger costs where the quality of the route sets is evaluated by a set of parameters. Initial computational experiments show that the proposed algorithm performs better than the benchmark results for Mandl's problems.

Development of a Multimodal Microsimulation-Based Evacuation Model

2019 ◽  
Vol 2673 (10) ◽  
pp. 477-488
Author(s):  
Jahedul Alam ◽  
Muhammad Ahsanul Habib ◽  
Uday Venkatadri
Keyword(s):  
Dynamic Traffic Assignment ◽  
Route Choice ◽  
Computation Time ◽  
Branch And Cut ◽  
Mixed Integer ◽  
Modeling Framework ◽  
Transit System ◽  
Microsimulation Modeling ◽  
Transit Route ◽  
Transit Routes

This study presents a multimodal evacuation microsimulation modeling framework. The paper first determines optimum marshal point locations and transit routes, then examines network conditions through traffic microsimulation of a mass evacuation of the Halifax Peninsula, Canada. The proposed optimization modeling approach identifies marshal point locations based on transit demand obtained from a Halifax Regional Transport network model. A mixed integer linear programming (MILP) technique is used to formulate the marshal point location and transit route choice problem. The study proposes a novel approach to solving the MILP problem, using the “branch and cut” algorithm, which demonstrates superiority in computation time and production of quality solutions. The optimization model determines 135 marshal points and 12 transit routes to evacuate approximately 8,400 transit-dependent individuals. Transit demand and marshal point locations are found to be concentrated at the core of the peninsula. The microsimulation modeling takes a dynamic traffic assignment-based approach. The simulation model predicts that it takes 22 h to evacuate all auto users but just 7 h for the transit-dependent population. The study reveals that the transit system has excess capacity to assist evacuees who switch from auto and other modes. Local traffic congestion prolongs the evacuation of a few densely-populated zones in the downtown core of the peninsula. The findings of this research help policy-makers understand the impacts of marshal point locations and transit route choice decisions on multimodal evacuation performance, and provide insights into emergency planning of multimodal evacuations under "mode switch" and transit-based evacuation scenarios.

A Web-based Platform for the Design of Urban Transit Route Networks

2015 ◽  
Author(s):  
Michael Kalochristianakis ◽  
Ioannis Deligiannkis ◽  
Dimitrios Kosmopoulos
Keyword(s):  
Urban Transit ◽  
Web Based ◽  
Transit Route
Sign in / Sign up

Export Citation Format

Share Document