ARTICLE Received 11 Aug 2015 | Accepted 21 Jan 2016 | Published 15 Mar 2016 DOI: 10.1038/ncomms10793 OPEN Understanding congested travel in urban areas Serdar Çolak1, Antonio Lima1,2 & Marta C. Gonza´lez1,3 Rapid urbanization and increasing demand for transportation burdens urban road ...
Çolak S, Lima A, González MC (2016) Understanding congested travel in urban areas. Nat Commun 7 Eagle N, Pentland A (2006) Reality mining: sensing complex social systems. Pers Ubiquitous Comput 10(4):255-268 Article Google Scholar Liao L, Patterson DJ, Fox D, Kautz H (2007) Le...
In the traffic and transport sector, vast amounts of data makes it possible to reveal certain facts about real-world traffic and transport operations. Some examples reported involve understanding traffic capacity4, congested travel5 and road usage patterns6 in urban road networks. Link travel speeds...
Significant challenges arise from the dependence of drones and drone-pilots on data-feeds and control-feeds, combined with the limited range of frequency choices for electronic communications. Airwaves are congested, especially in urban areas, but also in zones that have considerable electronic communica...
(GOV.UK2021b). The variation in vehicle speed would increase as driving occurs in such highly congested areas. As mentioned above, high congestion does increase fuel consumption due to increasing stop and go driving events. To exceed legal speed limits in these circumstances would substantially ...
TOD is an innovative sustainable solution for high-density urban planning and development [17]. By creating “activity nodes” linked by rail transit, as outlined in Fig. 6, TOD can provide mobility choices in congested areas. Fig. 6 Mall of the Emirates' inside link to Dubai Metro Full ...
Urban Heat Island (UHI) is an environmental phenomenon characterized by temperatures in urban areas being significantly higher than in surrounding rural areas. It is one of the major environmental issues caused by urbanization that generates more heat and adverse effects in local climate1,2, increasin...
The system’s critical point is then located at the boundary between the network’s free-flow and congested states. At this point, the maximum in travel production, the traffic capacity of urban networks, is reached. Consequently, the critical point marks both, the boundary between free-flow ...
The simulation results show that the higher the degree of the initial congested station is, the faster the congestion will spread in the network, and the larger influence scope the station has. When 𝑁=8N=8, the total number of crowded stations can reach peak value in a short period of ...
A survey tool was designed based on broad theoretical elements of these frameworks and building on participatory approach to urban mobility planning [11] to interrogate key themes of the needs and diversity of users of particular types of travel modes and driver experience, along with the measuremen...