Computer Sciences
Accurately predicting the arrival times of buses is of key importance, particularly in hectic urban environments. Providing people with efficient and timely transportation can discourage them from using private vehicles, ...
Automotive
Just as drivers in Brazil can be warned of traffic congestion ahead or a vehicle parked on the hard shoulder, notifications may soon pop up on their smartphone or on their car's computer screen to warn them in real time that ...
Apr 9, 2024
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25
Energy & Green Tech
Both Uber and Lyft ride-hailing services have pledged to fully electrify their vehicle fleets by 2030 in the United States.
Jun 7, 2023
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52
Computer Sciences
Transportation systems in urban settings are vulnerable to a variety of factors including weather, traffic congestion, and special events. Bottlenecks, in particular, can cause major problems and lead to cascading failure ...
Mar 21, 2023
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62
Energy & Green Tech
Banning scooters may reduce sidewalk congestion and keep would-be riders and pedestrians safer, but it comes at a cost, according to new research from Georgia Tech's School of Public Policy.
Nov 3, 2022
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40
Automotive
Long queues at traffic lights could be a thing of the past, thanks to a new artificial intelligence system developed by Aston University researchers.
May 11, 2022
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Other
Ride-hailing services, like Uber and Lyft, are lauded by some for their ability to decrease traffic congestion. Yet, others claim that ride-hailing services increase traffic congestion. A recent study by researchers at Penn ...
Sep 27, 2021
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41
Energy & Green Tech
New smart parking software developed by Cornell University researchers, which matches drivers with parking garage spots based on travel time and other factors, could reduce congestion and emissions while saving drivers the ...
Jun 8, 2020
1
70
Energy & Green Tech
Widespread use of autonomous vehicles (AVs) could either massively increase or drastically cut greenhouse gas emissions depending, in large part, on public policy, according to new research from Princeton University.
Mar 12, 2019
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34
Energy & Green Tech
To predict when morning traffic is likely to grind to a halt, it may be more effective to examine how we use electricity in the middle of the night instead of travel-time data. By analyzing household electricity use in Austin, ...
Jun 21, 2018
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