EXPRESS: Choosing the Light Meal: Real-time Aggregation of Calorie Information Reduces Meal Calories

2021 ◽  
pp. 002224372110223
Author(s):  
Eric M. VanEpps ◽  
Andras Molnar ◽  
Julie S. Downs ◽  
George Loewenstein
Keyword(s):  
Real Time ◽  
Red Light ◽  
Decision Makers ◽  
Caloric Content ◽  
Dynamic Feedback ◽  
Traffic Light ◽  
Real Time Traffic ◽  
Time Aggregation ◽  
Intentions To Return ◽  
The Impact

Numeric labeling of calories on restaurant menus has been implemented widely, but scientific studies have generally not found substantial effects on calories ordered. The present research tests the impact of a feedback format that is more targeted at how consumers select and revise their meals: real-time aggregation of calorie content to provide dynamic feedback about meal calories via a traffic light label. Because these labels intuitively signal when a meal shifts from healthy to unhealthy (via the change from green to a yellow or red light), they prompt decision makers to course correct in real time, before they finalize their choice. Results from five pre-registered experiments ( N = 11,900) show that providing real-time traffic light feedback about the total caloric content of a meal reduces calories in orders, even compared to similar aggregated feedback in numeric format. Patterns of ordering reveal this effect to be driven by people revising high-calorie orders more frequently, leading them to choose fewer and lower-calorie items. Consumers also like traffic light aggregation, indicating greater satisfaction with their order and greater intentions to return to restaurants that use them. The authors discuss how dynamic feedback using intuitive signals could yield benefits in contexts beyond food choice.

scholarly journals Mobile Road Traffic Management System Using Weighted Sensor

2017 ◽  
Vol 11 (5) ◽  
pp. 147 ◽  
Author(s):  
Solomon Adegbenro Akinboro ◽  
Johnson A Adeyiga ◽  
Adebayo Omotosho ◽  
Akinwale O Akinwumi
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Urban Areas ◽  
Traffic Management ◽  
Management System ◽  
Road Traffic ◽  
Traffic Information ◽  
Traffic Light ◽  
Real Time Traffic ◽  
Traffic Management System

<p><strong>Vehicular traffic is continuously increasing around the world, especially in urban areas, and the resulting congestion ha</strong><strong>s</strong><strong> be</strong><strong>come</strong><strong> a major concern to automobile users. The popular static electric traffic light controlling system can no longer sufficiently manage the traffic volume in large cities where real time traffic control is paramount to deciding best route. The proposed mobile traffic management system provides users with traffic information on congested roads using weighted sensors. A prototype of the system was implemented using Java SE Development Kit 8 and Google map. The model </strong><strong>was</strong><strong> simulated and the performance was </strong><strong>assessed</strong><strong> using response time, delay and throughput. Results showed that</strong><strong>,</strong><strong> mobile devices are capable of assisting road users’ in faster decision making by providing real-time traffic information and recommending alternative routes.</strong></p>

Real-Time Traffic Light Recognition Based on Smartphone Platforms

2017 ◽  
Vol 27 (5) ◽  
pp. 1118-1131 ◽  
Author(s):  
Wei Liu ◽  
Shuang Li ◽  
Jin Lv ◽  
Bing Yu ◽  
Ting Zhou ◽  
...  
Keyword(s):  
Real Time ◽  
Traffic Light ◽  
Real Time Traffic

scholarly journals Exploring the Spatial-Temporal Relationship between Rainfall and Traffic Flow: A Case Study of Brisbane, Australia

2020 ◽  
Vol 12 (14) ◽  
pp. 5596 ◽  
Author(s):  
Yanmin Qi ◽  
Zuduo Zheng ◽  
Dongyao Jia
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
Transportation Network ◽  
Central Business District ◽  
Weather Conditions ◽  
Inclement Weather ◽  
Real Time Traffic ◽  
Policy Analysts ◽  
Business District ◽  
The Impact

The impact of inclement weather on traffic flow has been extensively studied in the literature. However, little research has unveiled how local weather conditions affect real-time traffic flows both spatially and temporally. By analysing the real-time traffic flow data of Traffic Signal Controllers (TSCs) and weather information in Brisbane, Australia, this paper aims to explore weather’s impact on traffic flow, more specifically, rainfall’s impact on traffic flow. A suite of analytic methods has been applied, including the space-time cube, time-series clustering, and regression models at three different levels (i.e., comprehensive, location-specific, and aggregate). Our results reveal that rainfall would induce a change of the traffic flow temporally (on weekdays, Saturday, and Sunday and at various periods on each day) and spatially (in the transportation network). Particularly, our results consistently show that the traffic flow would increase on wet days, especially on weekdays, and that the urban inner space, such as the central business district (CBD), is more likely to be impacted by inclement weather compared with other suburbs. Such results could be used by traffic operators to better manage traffic in response to rainfall. The findings could also help transport planners and policy analysts to identify the key transport corridors that are most susceptible to traffic shifts in different weather conditions and establish more weather-resilient transport infrastructures accordingly.

Computing Traffic Information in the Cloud

2015 ◽  
pp. 1062-1079
Author(s):  
Po-Ting Wei ◽  
Tai-Chi Wang ◽  
Shih-Yu Chang ◽  
Yeh-Ching Chung
Keyword(s):  
Ad Hoc Networks ◽  
Real Time ◽  
Traffic Safety ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Traffic Information ◽  
Traffic Light ◽  
Real Time Traffic ◽  
Hoc Networks ◽  
Commercial Applications

Vehicular ad hoc networks have been envisioned to be useful in road safety and commercial applications. In addition, in-vehicle capabilities could be used as a service to provide a variety of applications, for example, to provide real-time junction view of road intersections or to address traffic status for advanced traffic light control. In this work, the authors construct a cloud service over vehicular ad hoc networks to provide event data including capturing videos or Global Positioning System (GPS) data. Moreover, the authors integrate the GPS receiver and the navigation software equipped over On Board Unit to create a Geographic Information System digital map and to offer a traffic safety application. The hardware is implemented by Eeepad for integrating camera and GPS. Furthermore, the cyclic recording scheme has been addressed for data transmission and query. With the design, people can get real-time traffic information including traffic videos or geographical data in the cloud.

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