Danrui Li,Mathew Schwartz,Samuel S Sohn et al.
Danrui Li et al.
For transportation hubs, leveraging pedestrian flows for commercial activities presents an effective strategy for funding maintenance and infrastructure improvements. However, this introduces new challenges, as consumer behaviors can disrup...
A distributionally robust optimization approach for airline integrated recovery under in-flight pandemic transmission risks [0.03%]
基于分布式鲁棒优化的航空综合恢复决策方法及应用——以新冠疫情期间的舱内传播风险为例
Yifan Xu,Sebastian Wandelt,Xiaoqian Sun
Yifan Xu
The COVID-19 pandemic has hit the airline industry hard, leading to heterogeneous epidemiological situations across markets, irregular flight bans, and increasing operational hurdles. Such a melange of irregularities has presented significa...
Behavioral inference from non-stationary policies: Theory and application to ridehailing drivers during COVID-19 lockdowns [0.03%]
基于非稳态策略的行为推理：理论与新冠肺炎疫情期间打车司机行为应用
Matthew Battifarano,Sean Qian
Matthew Battifarano
In the aftermath of a disruptive event like the onset of the COVID-19 pandemic, it is important for policymakers to quickly understand how people are changing their behavior and their goals in response to the event. Choice modeling is often...
Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data [0.03%]
利用不完整的自动计数数据估算公共交通工具上的乘客舒适度
Claudio Roncoli,Ektoras Chandakas,Ioannis Kaparias
Claudio Roncoli
The prevention of crowding inside buses, trams and trains is an important component of on-board passenger comfort and is central to the provision of good public transport services. In light of the COVID-19 pandemic and the associated signif...
Irmak Ozdemir,Cagla F Dursunoglu,Bahar Y Kara et al.
Irmak Ozdemir et al.
The ongoing COVID-19 pandemic has caused the death of millions of people, and PCR testing is widely used as the gold standard method to detect the infections to restrict the outbreak. Through the interviews conducted with people from the fi...
Yida Ding,Sebastian Wandelt,Xiaoqian Sun
Yida Ding
The advent of COVID-19 is a sensible reminder of the vulnerability of our society to pandemics. We need to be better prepared for finding ways to stem such outbreaks. Except from social distancing and wearing face masks, restricting the mov...
Generating a synthetic probabilistic daily activity-location schedule using large-scale, long-term and low-frequency smartphone GPS data with limited activity information [0.03%]
利用大型长期低频智能手机GPS数据和有限的活动信息生成合成的概率性日常活动位置日程表
Yu Cui,Qing He,Ling Bian
Yu Cui
Household travel survey data is a critical input to travel behavior modeling, and it also can be used to generate trip schedules for activity-based traffic simulation. With emerging information and communication technology (ICT) tools like ...
Modeling user interaction with app-based reward system: A graphical model approach integrated with max-margin learning [0.03%]
基于奖励系统的用户交互建模：一种与最大边缘学习相结合的图模型方法
Jingshuo Feng,Shuai Huang,Cynthia Chen
Jingshuo Feng
In recent years, there has been a rapid growth of smart apps that could interact with users and implement personalized rewards to coordinate and change user behavior. Understanding user behavior is an enabling factor for the success of thes...
Multianticipation for string stable Adaptive Cruise Control and increased motorway capacity without vehicle-to-vehicle communication [0.03%]
无车辆间通信的自适应巡航控制多重预测及其在高速公路的应用
Riccardo Donà,Konstantinos Mattas,Yinglong He et al.
Riccardo Donà et al.
Adaptive Cruise Control (ACC) systems have been expected to solve many problems of motorway traffic. Now that they are widespread, it is observed that the majority of existing systems are string unstable. Therefore, small perturbations in t...
Gaby Joe Hannoun,Mónica Menéndez
Gaby Joe Hannoun
While advancements in vehicular and wireless communication technologies are shaping the future of our transportation system, emergency medical services (EMS) are not receiving enough research attention. Their operations are still plagued by...