Evaluating the Impact of the 65 mph Maximum Speed Limit on Iowa Rural Interstates

1996 ◽  
Vol 50 (1) ◽  
pp. 79-85 ◽  
Author(s):  
Johannes Ledolter ◽  
K. S. Chan
Keyword(s):  
1997 ◽  
Vol 1587 (1) ◽  
pp. 113-120
Author(s):  
Maureen A. Mullen ◽  
James H. Wilson ◽  
Laura Gottsman ◽  
Robert B. Noland ◽  
William L. Schroeer

The National Highway System (NHS) bill passed by Congress in November 1995 eliminated the national maximum speed limit. It has allowed states to set their own speed limits, which many have changed during the past year. This analysis examines the impact of speed limit changes 1 year after passage of the NHS. Oxides of nitrogen (NOx), carbon monoxide, and volatile organic compounds are analyzed and are found to have increased nationwide by up to 6, 7, and 2 percent, respectively. Much of the increase has occurred in western states, which generally have increased vehicle speeds more than in eastern and midwestern states. For example, in Texas NOx emissions are estimated to have increased by 35 percent due to large increases in highway and arterial speed limits.


2008 ◽  
Vol 23 (3) ◽  
pp. 322-332 ◽  
Author(s):  
Johannes Keller ◽  
Sebnem Andreani-Aksoyoglu ◽  
Michel Tinguely ◽  
Johannes Flemming ◽  
Juerg Heldstab ◽  
...  
Keyword(s):  

1996 ◽  
Vol 50 (1) ◽  
pp. 79 ◽  
Author(s):  
Johannes Ledolter ◽  
K. S. Chan
Keyword(s):  

Author(s):  
Ali Kamyab ◽  
Steve Andrle ◽  
Dennis Kroeger ◽  
David S. Heyer

Many Minnesota counties are faced with the problem of high vehicle speeds through towns or resort areas that have significant pedestrian traffic. The impact of speed reduction strategies in high-pedestrian areas in rural counties of Minnesota was investigated. Speed data were collected at two selected study sites under their existing conditions ("no-treatment" or "before" condition) and after the proposed speed reduction strategies were installed. Second "after" data conditions were collected to study the short-term and long-term impact of the implemented strategies. The traffic-calming techniques employed at the Twin Lakes site consisted of removable pedestrian islands and pedestrian crossing signs. A dynamic variable message sign that sent a single-word message ("Slow") to motorists traveling over the speed limit was installed at the Bemidji site. The research study shows that the traffic-calming strategy deployed in Twin Lakes was effective in significantly reducing the mean speed and improving speed limit compliance in both the short term and long term. Despite proven effectiveness, the deployed speed reduction treatment in Bemidji Lake failed to lower the speed at the study site. The single-word message on the sign and the location of the sign, as well as a lack of initial enforcement, were the primary reasons for such failure.


2015 ◽  
Vol 42 (7) ◽  
pp. 477-489 ◽  
Author(s):  
Ying Luo ◽  
M. Hadiuzzaman ◽  
Jie Fang ◽  
Tony Z. Qiu

Over the past few decades, several active traffic control methods have been proposed to improve freeway efficiency at bottleneck locations. Variable speed limit (VSL) is one of these effective controls. Previous studies have evaluated VSL control, but primarily during recurrent congestion only. This study focuses on evaluating the performance of VSL control for both recurrent and non-recurrent congestion. To assess the effectiveness of a previously proposed VSL control in a real-world situation, this study has three evaluation objectives: (1) examine the control performance when recurrent and (or) non-recurrent congestion occurs; (2) assess the effectiveness of the control when a queue encounters the VSL sign; and (3) consider the impact of system detection delay in VSL control. Comparative experiments for Whitemud Drive in Edmonton, Alberta, Canada, are simulated in the VISSIM platform, and traffic performance is compared among scenarios with and without control. The simulation results show that VSL improves mobility for both recurrent and non-recurrent congestion. The VSL control reduces total travel time, and improves total travel distance and total flow. Furthermore, it slows down the shockwave propagation speed, improves the average speed on most of the freeway segments, and reduces the duration of traffic recovery.


2019 ◽  
Vol 5 (1) ◽  
pp. 39
Author(s):  
Rizki Intan Mauliza ◽  
Tania Bonita Sabrina ◽  
Wahyu Maulana

ABSTRAKSalah satu faktor penyebab kecelakaan yang signifikan adalah tidak sesuainya kecepatan kendaraan dengan kondisi jalan, lingkungan dan kegiatan, dalam hal ini adalah kecepatan yang terlalu tinggi. Jalan tol/jalan bebas hambatan merupakan salah satu jalan yang berpotensi memiliki banyak pelanggaran dalam kecepatan kendaraan. Batasan kecepatan jalan tol telah di atur dalam PM Hub 111/2015 yaitu 40 km/jam untuk tol dalam kota dan 60 km/jam - 100 km/jam untuk tol luar kota. Untuk memastikan kecepatan rata-rata kendaraan dan menentukan tingkat pelanggaran kendaraan yang melintasi ruas jalan tol Cipularang maka penelitian menggunakan metode pengumpulan data primer/pengamatan secara langsung. Hasil analisis secara keseluruhan didapatkan bahwa rata-rata kecepatan kendaraan mobil penumpang sebesar 88 km/jam, truk 62 km/jam dan bus 72 km/jam dengan persentasi kecepatan rata-rata untuk mobil penumpang, truk dan bus berturut-turut sebesar 43%, 5% dan 22%. Hal ini menunjukan terdapat pelanggaran batas kecepatan maksimum untuk kendaraan mobil penumpang dengan prosentase yang tinggi (lebih dari 30%) atau kecepatan rata-rata lebih dari 80 km/jam.Kata kunci: kecelakaan, batas kecepatan, jalan tol ABSTRACTOne factors of a significant accident is not according to the speed of the vehicle with the environment, environment and activities, in this case the speed is too high. Toll road / freeway is one of the roads that has many roads in the vehicle. The toll road speed limit has been set in PM Hub 111/2015, which is 40 km/hour  for city tolls and 60 km/hour  100 km/hour for out-of-city toll roads. To determine the average speed of a vehicle and determine the level of the vehicle passing through the Cipularang toll road, the study uses the primary data / direct search method. The overall analysis results are obtained that the average speed of passenger car vehicles is 88 km/hour, trucks 62 km/hour and buses 72 km/hour with the percentage of average speed for passenger cars, trucks and buses being helped-along by 43%, 5% and 22%. This shows the maximum speed limit for passenger car vehicles with a higher percentage (more than 30%) or an average speed of more than 80 km/hour.Keywords: accidents, speed limits, toll roads


2018 ◽  
Vol 10 (12) ◽  
pp. 4694 ◽  
Author(s):  
Xiang Wang ◽  
Po Zhao ◽  
Yanyun Tao

Overloaded heavy vehicles (HVs) have significant negative impacts on traffic conditions due to their inferior driving performance. Highway authorities need to understand the impact of overloaded HVs to assess traffic conditions and set management strategies. We propose a multi-class traffic flow model based on Smulders fundamental diagram to analyze the influence of overloaded HVs on traffic conditions. The relationship between the overloading ratio and maximum speed is established by freeway toll collection data for different types of HVs. Dynamic passenger car equivalent factors are introduced to represent the various impacts of overloaded HVs in different traffic flow patterns. The model is solved analytically and discussed in detail in the appendices. The model validation results show that the proposed model can represent traffic conditions more accurately with consideration for overloaded HVs. The scenario tests indicate that the increase of overloaded HVs leads to both a higher congestion level and longer duration.


1999 ◽  
Vol 31 (5) ◽  
pp. 537-543 ◽  
Author(s):  
Charles M Farmer ◽  
Richard A Retting ◽  
Adrian K Lund

Sign in / Sign up

Export Citation Format

Share Document