An algorithm for the discrete network design problem without traffic assignment iterations
T. Xu,
Y. Cui, A. Cheng, Y. Mao
Pages: 3-16
Abstract:
Though
the transportation network design problem (TNDP) has been studied widely due
to its importance, the majority of past studies need to solve the traffic
assignment problem many times in the solution process, which makes the
methods inefficient. In this paper, an algorithm for the TNDP of adding a
lane/lanes to a link on a one-to-one network without traffic assignment
iterations is presented. First, for each link, the travel time drop (TTD) of
the network when adding a lane to each link is estimated. The estimation of
the TTD does not need solving the traffic assignment problem on the network.
It just need to adjust flows on the used paths of the OD. Since it does not
involve finding the shortest path, it is far more efficient than the methods
that need traffic assignment iterations. Then the link with the maximal TTD
is selected for capacity expansion by adding a lane or lanes to it. At the
end of each step, the TTD of the network is estimated again and a link is
selected again for expansion. The process proceeds until the budget is met.
The method is applied to a network and the validity of it is shown. The
algorithm has two pros: 1) It can find the exact optimal solution for a
one-to-one network; 2) It avoids UE iterations. The con of the algorithm is
that it can only find the approximate optimal solution for
multiple-origin-multiple-destination network. It helps to develop the
approximate algorithm for a multiple-origin-multiple-destination
(many-to-many) network.
Keywords: capacity
expansion; discrete network design problem; travel time drop
2025 ISSUES
2024 ISSUES
LXII - April 2024LXIII - July 2024LXIV - November 2024Special 2024 Vol1Special 2024 Vol2Special 2024 Vol3Special 2024 Vol4
2023 ISSUES
LIX - April 2023LX - July 2023LXI - November 2023Special Issue 2023 Vol1Special Issue 2023 Vol2Special Issue 2023 Vol3
2022 ISSUES
LVI - April 2022LVII - July 2022LVIII - November 2022Special Issue 2022 Vol1Special Issue 2022 Vol2Special Issue 2022 Vol3Special Issue 2022 Vol4
2021 ISSUES
LIII - April 2021LIV - July 2021LV - November 2021Special Issue 2021 Vol1Special Issue 2021 Vol2Special Issue 2021 Vol3
2020 ISSUES
2019 ISSUES
Special Issue 2019 Vol1Special Issue 2019 Vol2Special Issue 2019 Vol3XLIX - November 2019XLVII - April 2019XLVIII - July 2019
2018 ISSUES
Special Issue 2018 Vol1Special Issue 2018 Vol2Special Issue 2018 Vol3XLIV - April 2018XLV - July 2018XLVI - November 2018
2017 ISSUES
Special Issue 2017 Vol1Special Issue 2017 Vol2Special Issue 2017 Vol3XLI - April 2017XLII - July 2017XLIII - November 2017
2016 ISSUES
Special Issue 2016 Vol1Special Issue 2016 Vol2Special Issue 2016 Vol3XL - November 2016XXXIX - July 2016XXXVIII - April 2016
2015 ISSUES
Special Issue 2015 Vol1Special Issue 2015 Vol2XXXV - April 2015XXXVI - July 2015XXXVII - November 2015
2014 ISSUES
Special Issue 2014 Vol1Special Issue 2014 Vol2Special Issue 2014 Vol3XXXII - April 2014XXXIII - July 2014XXXIV - November 2014
2013 ISSUES
2012 ISSUES
2011 ISSUES
2010 ISSUES
2009 ISSUES
2008 ISSUES
2007 ISSUES
2006 ISSUES
2005 ISSUES
2004 ISSUES
2003 ISSUES
