Time | Sessions | Author |
9:30-11:30 | Session 7A, Link criticality analysis | |
Kenji Chigusa, Haris Koutsopoulos and Nigel Wilson | ||
A “backward” failure spreading model and its robustness against poor input data quality | Xiangyang Guan and Cynthia Chen | |
Dongjae Jung, Justin Chang and Jihwan Hwang | ||
Detecting critical stations of metro networks using community detection methods | Ho-Yin Chan, Paiziliya Abuduaini and Anthony Chen | |
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9:30-11:30 | Session 7B, Road network reliability | |
Weiwen Zhou and Elise Miller-Hooks | ||
Mamoru Fujita and Hiroshi Wakabayashi | ||
Comparison of bootstrap-estimated link flow variation with observed day-to-day fluctuation | Katsuya Kumagae and Takuya Maruyama | |
Optimising road network restoration from capacity-reducing damage in North-East Scotland | Antonio Pellicer-Pous and Neil Ferguson | |
12:30-14:30 | Session 8A, COVID-19 impacts and modelling | |
Urban traffic congestion evolution patterns during the COVID-19 pandemic | Jian Li, Pengfei Xu, Weifeng Li and Tian Gan | |
Simulation-based Mitigation of COVID-19 Outbreaks on Rail Transport Network | Rui Xue, Zhiqiang Ma and Xiaoning Ma | |
Changes in Travel Behaviour due to the Covid-19 Crisis: A Case Study for Bangladesh | Nafis Anwari, Md. Tawkir Ahmed, Md Rakibul Islam, Md. Hadiuzzaman and Shohel Amin | |
12:30-14:30 | Session 8B, Public transport planning and operations | |
31, Applying synchronization in branch and trunk bus networks: an experimental analysis | Georgios Laskaris, Oded Cats, Erik Jenelius, Marco Rinaldi and Francesco Viti | |
Network Assignment with Premium Fares to Improve Travel Time Reliability | Saeed Maadi and Jan-Dirk Schmöcker | |
Rémi Coulaud and Mathilde Vimont | ||
Zonal-based flexible bus service scheduling under stochastic demand and time-dependent travel time | Enoch Lee, Xuekai Cen and Hong Lo | |
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12:30-14:30 | Session 8C, Location and routing problems | |
An exact algorithm for the green location-routing problem under demand uncertainty | Mengtong Wang, Michael Bell and Lixin Miao | |
Vulnerable Road User Personalized Optimum and Dynamic (VRUPOD) Routing | Justice Darko, Hyoshin Park and Joseph Chow | |
Elise Henry, Angelo Furno, Nour-Eddin El Faouzi and David Rey | ||
Saving cost by the deployment of Autonomous Mobile Lockers (AMLs) for last-mile deliveries | Jun Li, Michael Bell and Hamidreza Ensafian | |
14:45-15:15 | Session 9A, Network state estimation and predictions | |
Road network state estimation at the heavy rain disaster using ETC2.0 probe data | Wataru Inaba, Hideki Yaginuma, Shintaro Terabe, Kosuke Tanaka and Nan Kang | |
Hao Fu, William H.K. Lam and Hu Shao | ||
Proactive prediction of weather-related rail service delays on the rail network in Great Britain | David Jaroszweski, Qian Fu and Nithin Murali | |
14:45-15:15 | Session 9B, Train delay analysis and prediction | |
Passenger Train Delay Prediction Modelling with Weather Information Using Machine Learning | Pipatphon Lapamonpinyo, Sybil Derrible and Francesco Corman | |
Delay analysis of departing trains from shunting yards: a case study | Niloofar Minbashi, Markus Bohlin and Behzad Kordnejad | |
Automated offline detection of disruptions using smart card data | Faye Jasperse, Panchamy Krishnakumari, Maaike Snelder, Yilin Huang and Oded Cats |